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19 pages, 4849 KiB  
Article
Impact of Supercritical Carbon Dioxide on Pore Structure and Gas Transport in Bituminous Coal: An Integrated Experiment and Simulation
by Kui Dong, Zhiyu Niu, Shaoqi Kong and Bingyi Jia
Molecules 2025, 30(6), 1200; https://doi.org/10.3390/molecules30061200 - 7 Mar 2025
Abstract
The injection of CO2 into coal reservoirs occurs in its supercritical state (ScCO2), which significantly alters the pore structure and chemical composition of coal, thereby influencing the adsorption and diffusion behavior of methane (CH4). Understanding these changes is [...] Read more.
The injection of CO2 into coal reservoirs occurs in its supercritical state (ScCO2), which significantly alters the pore structure and chemical composition of coal, thereby influencing the adsorption and diffusion behavior of methane (CH4). Understanding these changes is crucial for optimizing CH4 extraction and improving CO2 sequestration efficiency. This study aims to investigate the effects of ScCO2 on the pore structure, chemical bonds, and CH4 diffusion mechanisms in bituminous coal to provide insights into coal reservoir stimulation and CO2 storage. By utilizing high-pressure CO2 injection adsorption, low-pressure CO2 gas adsorption (LP-CO2-GA), Fourier-transform infrared spectroscopy (FTIR), and reactive force field molecular dynamics (ReaxFF-MD) simulations, this study examines the multi-scale changes in coal at the nano- and molecular levels. The following results were found: Pore Structure Evolution: After ScCO2 treatment, micropore volume increased by 19.1%, and specific surface area increased by 11.2%, while mesopore volume and specific surface area increased by 14.4% and 5.7%, respectively. Chemical Composition Changes: The content of aromatic structures, oxygen-containing functional groups, and hydroxyl groups decreased, while aliphatic structures increased. Specific molecular changes included an increase in (CH2)n, 2H, 1H, and secondary alcohol (-C-OH) and phenol (-C-O) groups, while Car-Car and Car-H bonds decreased. Mechanisms of Pore Volume Changes: The pore structure evolves through three distinct phases: Swelling Phase: Breakage of low-energy bonds generates new micropores. Aromatic structure expansion reduces intramolecular spacing but increases intermolecular spacing, causing a decrease in micropore volume and an increase in mesopore volume. Early Dissolution Phase: Continued bond breakage increases micropore volume, while released aliphatic and aromatic structures partially occupy these pores, converting some mesopores into micropores. Later Dissolution Phase: Minimal chemical bond alterations occur, but weakened π-π interactions and van der Waals forces between aromatic layers result in further mesopore volume expansion. Impact on CH4 Diffusion: Changes in pore volume directly affect CH4 migration. In the early stages of ScCO2 interaction, pore shrinkage reduces the mean square displacement (MSD) and self-diffusion coefficient of CH4. However, as the reaction progresses, pore expansion enhances CH4 diffusion, ultimately improving gas extraction efficiency. This study provides a fundamental understanding of how ScCO2 modifies coal structure and CH4 transport properties, offering theoretical guidance for enhanced CH4 recovery and CO2 sequestration strategies. Full article
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<p>ScCO<sub>2</sub> and TL interaction mechanism analysis flow chart.</p>
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<p>(<b>a</b>) Macromolecular structure of TL; (<b>b</b>) geometric optimization model of TL; (<b>c</b>) supramolecular structure of TL; and (<b>d</b>) ScCO<sub>2</sub> injection model (C: gray; H: white; O: red; S: yellow; N: blue).</p>
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<p>Relationship between the absolute adsorption capacity of TL coal and CO<sub>2</sub> injection pressure.</p>
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<p>FTIR change characteristics before and after ScCO<sub>2</sub> treatment.</p>
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<p>Characteristics of chemical bond changes in TL samples during ScCO<sub>2</sub> treatment.</p>
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<p>The process of new micropore formation during ScCO<sub>2</sub> reactions (C: gray; O: red; N: blue; S: Yellow).</p>
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<p>The process of micropore deformation during ScCO<sub>2</sub> reactions (C: gray; O: red).</p>
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<p>The process of mesopore deformation during ScCO<sub>2</sub> reactions (C: gray; O: red; N: blue).</p>
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<p>Changes in MSD of CH4 during ScCO<sub>2</sub> reaction.</p>
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<p>Self-diffusion coefficients change during the ScCO<sub>2</sub> reaction.</p>
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13 pages, 4528 KiB  
Review
Hot Stars in Stellar Populations of Galaxies
by Claus Leitherer
Galaxies 2025, 13(2), 20; https://doi.org/10.3390/galaxies13020020 - 7 Mar 2025
Viewed by 76
Abstract
Star-forming galaxies are hosts of dominant populations of recently formed, hot, massive stars, which give rise to conspicuous stellar spectral features and provide the ionizing fluxes. Strong outflows of these stars shape their properties. These winds affect the evolution and the output of [...] Read more.
Star-forming galaxies are hosts of dominant populations of recently formed, hot, massive stars, which give rise to conspicuous stellar spectral features and provide the ionizing fluxes. Strong outflows of these stars shape their properties. These winds affect the evolution and the output of ionizing radiation, as well as the energy and momentum input in the interstellar medium and the chemical enrichment. Many properties of massive stars become even more extreme at a low metallicity. Owing to the pioneering observations of young, metal-poor stellar populations, both locally with HST and large ground-based facilities and at high redshift with JWST, we are at a key moment to assess our understanding of hot massive stars in these galaxies. Stellar population synthesis is a key tool. I will demonstrate how population models of hot, massive stars help to address some issues at the forefront of current research. The recent advent of new evolutionary and atmosphere models of massive stars probing new parameter space allows us to characterize the properties of nearby and distant populations. Full article
(This article belongs to the Special Issue Circumstellar Matter in Hot Star Systems)
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<p>Optical multi-filter HST Advanced Camera for Surveys’ composite image of the massive young star cluster Trumpler 14 in the Carina Nebula. Credit: NASA/ESA and J. Maíz Apellániz.</p>
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<p>(<b>a</b>) HRD with evolutionary tracks showing the location of the four most massive stars in R136, the center of NGC 2070. The stars have initial masses in excess of 200 M<sub>⊙</sub> (from [<a href="#B31-galaxies-13-00020" class="html-bibr">31</a>]). (<b>b</b>) Integrated UV spectrum of the central <math display="inline"><semantics> <mrow> <msup> <mn>2</mn> <mo>′</mo> </msup> <mo>×</mo> <msup> <mn>2</mn> <mo>′</mo> </msup> </mrow> </semantics></math> of NGC 2070 (black); integrated STIS/G140L spectrum of the R136a cluster (red); STIS/E140M spectrum of R140a (blue), the brightest UV star near R136 (from [<a href="#B34-galaxies-13-00020" class="html-bibr">34</a>]).</p>
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<p>Montage of five UV spectra of massive extragalactic star clusters containing VMSs. The spectra are ordered by increasing age and <span class="html-italic">Z</span> from top to bottom. The spectrum of R136a is identical to that in <a href="#galaxies-13-00020-f002" class="html-fig">Figure 2</a>b. The similarity of the R136a spectrum to the other spectra suggests those clusters host VMSs as well (from [<a href="#B35-galaxies-13-00020" class="html-bibr">35</a>]).</p>
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<p>Comparison of a UV spectrum of the star cluster NGC 3125-A1 (black) with a theoretical spectrum containing models of stars with initial masses up to 300 M<sub>⊙</sub> (blue). The positions of the interstellar intrinsic and foreground, as well as geocoronal lines, are marked. These lines are ignored in the fit (from [<a href="#B40-galaxies-13-00020" class="html-bibr">40</a>]).</p>
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<p>HRD of stellar populations in the LMC. Several key types of stars are identified: main-sequence Wolf-Rayet stars (MS-WR), core-helium burning Wolf-Rayet stars (cWR), OB main-sequence stars (OB), blue supergiants and Luminous Blue Variables (BSG/LBV), red supergiants (RSG), yellow supergiants (YSG), and hydrogen-free stripped stars. Evolutionary tracks and the location of the hydrogen and helium zero-age main sequence are overlaid (from [<a href="#B42-galaxies-13-00020" class="html-bibr">42</a>]). The references in the figure can be found in [<a href="#B42-galaxies-13-00020" class="html-bibr">42</a>].</p>
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<p>Comparison of the spectral energy distributions of two hot massive stars. The four shaded region in each figure (from light amber to dark red) denote the non-ionizing UV, the H<sup>0</sup>-ionizing UV, the He<sup>0</sup>-ionizing UV, and the He<sup>+</sup>-ionizing UV, respectively. Note the very different He<sup>+</sup>-ionizing continuum in the two models (from [<a href="#B47-galaxies-13-00020" class="html-bibr">47</a>]).</p>
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<p>(<b>Left</b>): JWST/NIRCam F444W, F200W, and F115W composite image of the Sunburst Arc at <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>2.37</mn> </mrow> </semantics></math>. The square overlays highlight the locations of the lensed cluster. (<b>Right</b>): Close-up of the overlays created from JWST/NIRSpec IFU continuum images (from [<a href="#B56-galaxies-13-00020" class="html-bibr">56</a>]).</p>
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<p>Stacked spectrum of the most massive Sunburst Arc cluster obtained from 12 individual cluster spectra. The broad blue and red Wolf-Rayet emissions of N III/C III/He II 4640/4650/4686 Å and C III 5801/5812 Å, respectively, can be clearly observed (from [<a href="#B56-galaxies-13-00020" class="html-bibr">56</a>]).</p>
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<p>Comparison of a stacked composite restframe UV spectrum of 30 galaxies at redshift <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>2.4</mn> </mrow> </semantics></math> (black) with theoretical stellar spectra at three stellar metallicities (0.07 Z<sub>⊙</sub>, 0.14 Z<sub>⊙</sub>, 0.56 Z<sub>⊙</sub>) and two values of the IMF. The variation in the numerous lines superimposed on the continuum is the metallicity-dependent line-blanketing (from [<a href="#B65-galaxies-13-00020" class="html-bibr">65</a>]).</p>
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<p>(<b>a</b>) Synthetic UV spectral energy distributions for models at a solar metallicity. The evolution over time is plotted from 1 Myr to 10 Myr at intervals of 1 Myr. The models assume a standard Salpeter IMF extending up to 120 M<sub>⊙</sub> (blue) and include VMSs with masses of up to 300 M<sub>⊙</sub> (red). (<b>b</b>) Same as (<b>a</b>) but for zero metallicity (from [<a href="#B71-galaxies-13-00020" class="html-bibr">71</a>]).</p>
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13 pages, 5253 KiB  
Article
Microwave Absorption Properties of Graphite Nanosheet/Carbon Nanofiber Hybrids Prepared by Intercalation Chemical Vapor Deposition
by Yifan Guo, Junhua Su, Qingfeng Guo, Ling Long, Jinlong Xie and Ying Li
Nanomaterials 2025, 15(5), 406; https://doi.org/10.3390/nano15050406 - 6 Mar 2025
Viewed by 74
Abstract
Carbon-based microwave absorption materials have garnered widespread attention as lightweight and efficient wave absorbers, emerging as a prominent focus in the field of functional materials research. In this work, FeNi3 nanoparticles, synthesized in situ within graphite interlayers, were employed as catalysts to [...] Read more.
Carbon-based microwave absorption materials have garnered widespread attention as lightweight and efficient wave absorbers, emerging as a prominent focus in the field of functional materials research. In this work, FeNi3 nanoparticles, synthesized in situ within graphite interlayers, were employed as catalysts to grow carbon nanofibers in situ via intercalation chemical vapor deposition (CVD). We discovered that amorphous carbon nanofibers (CNFs) can exfoliate and separate highly conductive graphite nanosheets (GNS) from the interlayers. Meanwhile, the carbon nanofibers eventually intertwine and encapsulate the graphite nanosheets, forming porous hybrids. This process induces significant changes in the electrical conductivity and electromagnetic parameters of the resulting GNS/CNF hybrids, enhancing the impedance matching between the hybrids and free space. Although this process slightly reduces the microwave loss capability of the hybrids, the balance between these effects significantly enhances their microwave absorption performance, particularly in the Ku band. Specifically, the optimized GNS/CNF hybrids, when mixed with paraffin at a 30 wt% ratio, exhibit a maximum microwave reflection loss of −44.1 dB at 14.6 GHz with a thickness of 1.5 mm. Their effective absorption bandwidth, defined as the frequency range with a reflection loss below −10 dB, spans the 12.5–17.4 GHz range, covering more than 80% of the Ku band. These results indicate that the GNS/CNF hybrids prepared via intercalation CVD are promising candidates for microwave absorption materials. Full article
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<p>Schematic illustration of the mechanism for the preparation of graphite nanosheet/carbon nanofiber hybrids via the intercalation CVD technique.</p>
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<p>Electron microscopy characterizations of the samples. (<b>a</b>,<b>b</b>) SEM images of (<b>a</b>) natural graphite, (<b>b</b>) FeNi<sub>3</sub>-intercalated graphite. (<b>c</b>,<b>d</b>) Graphite nanosheet/carbon nanofiber hybrids prepared by intercalation CVD. (<b>e</b>) TEM images of the grown carbon nanofibers. The inset in the top left shows the high-resolution transmission electron microscopy (HR-TEM) image of the carbon fiber wall. (<b>f</b>) HRTEM images of a FeNi<sub>3</sub> nanoparticle embedded between the graphite nanosheets. High-resolution lattice of FeNi<sub>3</sub> (111) and graphite (002) planes are labeled.</p>
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<p>Scanning electron microscopy (SEM) images of graphite nanosheet/carbon nanofiber hybrids grown for different CVD durations. The specific CVD growth times are (<b>a</b>) 0 min, (<b>b</b>) 10 min, (<b>c</b>) 30 min, (<b>d</b>) 60 min, (<b>e</b>) 120 min, and (<b>f</b>) 240 min.</p>
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<p>Structural characterizations and electrical conductivities of graphite nanosheet/carbon nanofiber hybrids grown for different CVD durations. (<b>a</b>) XRD patterns, (<b>b</b>) Raman spectra, and (<b>c</b>) electrical conductivities tested by four-point probe resistivity measurement.</p>
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<p>Frequency-dependent electromagnetic parameters of graphite nanosheet/carbon nanofiber hybrids grown for different CVD durations. (<b>a</b>) Real part and (<b>b</b>) imaginary part of the complex permittivity. (<b>c</b>) Real part and (<b>d</b>) imaginary part of the complex permeability.</p>
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<p>Microwave absorption performances of graphite nanosheet/carbon nanofiber hybrids grown for different CVD durations. (<b>a</b>) Reflection loss curves of the hybrids with a thickness of 1.5 mm. The black dashes indicate effective absorption regions (RL &lt; −10 dB). (<b>b</b>,<b>c</b>) Three-dimensional representations of the hybrids grown for (<b>c</b>) 30 min and (<b>c</b>) 60 min. Note that the RL values are derived from the measured electromagnetic parameters.</p>
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<p>Impedance matches of graphite nanosheet/carbon nanofiber hybrids grown for different CVD durations. (<b>a</b>) 0 min, (<b>b</b>) 10 min, (<b>c</b>) 30 min, (<b>d</b>) 60 min, (<b>e</b>) 120 min, (<b>f</b>) 240 min.</p>
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<p>Microwave dissipation abilities of graphite nanosheet/carbon nanofiber hybrids. (<b>a</b>) Dielectric dissipation factors, (<b>b</b>) magnetic dissipation factor, and (<b>c</b>) attenuation value as a function of microwave frequency.</p>
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20 pages, 3235 KiB  
Article
Combined Scheduling and Configuration Optimization of Power-to-Methanol System Considering Feedback Control of Thermal Power
by Junjie Ye, Yinghui Liu, Li Sun and Ke Chen
Energies 2025, 18(5), 1210; https://doi.org/10.3390/en18051210 - 1 Mar 2025
Viewed by 195
Abstract
A power-to-methanol (P2M) system is a promising energy storage approach in transforming surplus renewable energy into a chemical product while utilizing the captured CO2 from conventional thermal power units. Most of the traditional methods for the optimal configuration of IES use the [...] Read more.
A power-to-methanol (P2M) system is a promising energy storage approach in transforming surplus renewable energy into a chemical product while utilizing the captured CO2 from conventional thermal power units. Most of the traditional methods for the optimal configuration of IES use the steady-state model of the equipment, while ignoring the dynamic deviation of the thermal power unit under variable operating conditions. This study enhances the steady-state model of the P2M system by incorporating feedback-based dynamic control for the thermal power generation (TPG) unit. A closed-loop state-space model of the TPG unit is introduced as an additional constraint within the optimization framework. Furthermore, a dynamic deviation index for the TPG unit is formulated and integrated into a mixed-integer linear programming (MILP) model. Together with the system’s annual operating cost over its life cycle, this index constitutes an objective function, aiming to minimize both the dynamic deviations and operating costs, thereby optimizing the capacity configuration of the P2M system’s components. The optimal results indicate that in the dynamic configuration, the hydrogen storage tank capacity increases by 94.73% and the electrolyzer capacity remains almost consistent, which shows the energy storage potential of the P2M. The optimized scheduling results show that the electrolyzer can effectively absorb the intermittency of renewable energy. This method of dynamic configuration planning can effectively suppress the thermal power unit output fluctuation, smooth the schedule curve, and realize the effect of peak shaving and valley filling. Full article
(This article belongs to the Topic Multi-Energy Systems, 2nd Edition)
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<p>Structure of the P2M system hybrid with renewable and conventional power generation.</p>
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<p>Flowchart of methanol synthesis process.</p>
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<p>Dynamic modeling process of TPG and construction of deviation indicators.</p>
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<p>Flowchart of the solution algorithm.</p>
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<p>Scheduling results of P2M system with steady-state modeling.</p>
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<p>Scheduling results of P2M system with dynamic modeling.</p>
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<p>Comparison of TPG tracking effects with steady-state model.</p>
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<p>Comparison of TPG tracking effects with dynamic model.</p>
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<p>Comparison of steady-state model scheduling instructions and dynamic model scheduling instructions for TPG.</p>
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<p>Impacts of equipment investment cost reduction on economic performance.</p>
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<p>Impacts of equipment investment cost reduction on optimal capacity configuration.</p>
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<p>Impact of the consumption factor of the electrolyzer on economic performance.</p>
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<p>Impact of the consumption factor of the electrolyzer on the optimal capacity configuration.</p>
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26 pages, 11185 KiB  
Article
Crystal Chemistry of Eudialyte Group Minerals from Rouma Island, Los Archipelago, Guinea
by Natale Perchiazzi, Cristiano Ferraris, Daniela Mauro and Pietro Vignola
Minerals 2025, 15(3), 249; https://doi.org/10.3390/min15030249 - 27 Feb 2025
Viewed by 199
Abstract
We herein present a comprehensive investigation of the eudialyte group minerals from the nepheline syenites of Rouma Island in the Los Archipelago, Conakry region, Guinea. Two distinct mineral phases were identified: an oneillite-like phase, associated with the agpaitic rock suite, and, for the [...] Read more.
We herein present a comprehensive investigation of the eudialyte group minerals from the nepheline syenites of Rouma Island in the Los Archipelago, Conakry region, Guinea. Two distinct mineral phases were identified: an oneillite-like phase, associated with the agpaitic rock suite, and, for the first time in this locality, kentbrooksite, occurring in pegmatites. The oneillite-like phase crystallizes in the trigonal system (space group R3), with unit cell parameters a = 14.1489(2) Å, c = 30.1283(5) Å and an idealized crystal chemical formula of Na15(Mn,REE)3(Ca,Mn)3(Fe,Mn)3Zr3(Zr,Si,Al,Nb,Ti)1 (Si25O73)(O,OH,H2O)3(OH,Cl,F)2. Kentbrooksite also exhibits trigonal symmetry (space group R3m), with unit cell parameters a = 14.2037(3) Å c = 30.1507(9) Å and an idealized formula of (Na,REE)15(Ca,Mn)6(Mn,Fe)3Zr3(Nb,Si)1(Si25O73)(O,OH,H2O)3(F,Cl,OH)2. Compared to the oneillite-like phase, kentbrooksite is markedly enriched in Mn and rare earth elements (REE). This geochemical distinction aligns with the progressive mineralogical evolution of the system, transitioning from the miaskitic to agpaitic suite (oneillite-like phase) and subsequently to pegmatites (kentbrooksite). These findings are consistent with the broader-scale observations regarding the syenite ring structure of the Los Archipelago. Full article
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<p>Heteropolyhedral model of the crystal structure of the 12-layered (c~30 Å) EGMs, with the TMTZ-layers sequence repeated through the rhombohedral centering.</p>
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<p>Sample Los-129.15, showing red-brown aggregates of Eudialyte crystals within a nepheline-syenite matrix (12.5 cm wide field of view) from Rouma Island, Los Archipelago, Guinea.</p>
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<p>Polished fragments of eudialyte samples Los-174 (<b>a</b>) and Los-129.15 (<b>b</b>) used for Raman studies.</p>
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<p>Raman spectra of Los-174 and Los-129.15 EGMs. The spectra are offset for comparison.</p>
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<p>Cation and anion environments around Cl3-OH3 anion split site in the crystal structure of Los-174 kentbrooksite.</p>
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<p>Six-membered rings of Mn-centered (M1a) and Ca-centered (M1b) octahedra in Los-129.15 oneillite-like phase.</p>
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<p>Six-membered rings of alternating M1a and M1b octahedra cross-linked by <sup>[4,5]</sup>M2 Fe centered polyhedra in the Los-129.15 oneillite-like phase.</p>
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<p>The local coordination of the split statistically occupied octahedral sites (M3a–b) and tetrahedral (M3c) site in Los-129.15 oneillite-like phase.</p>
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<p>Micro-region of the split M4a–b statistically occupied coupled tetrahedral sites in Los-129.15 oneillite-like phase structure.</p>
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<p>Cation and anion environments around Cl1 anion site in the crystal structure of Los-129.15. Dotted line highlights the hydrogen bond involving O25 and Cl1 anion sites.</p>
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<p>Cation and anion environments around Cl2-OH2 split site in the crystal structure of Los-129.15.</p>
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15 pages, 3083 KiB  
Article
2D Porous Ti3C2 MXene as Anode Material for Sodium-Ion Batteries with Excellent Reaction Kinetics
by Lan Tang, Linlin Zhang, Guohao Yin, Xin Tao, Lianghao Yu, Xiaoqing Wang, Changlong Sun, Yunyu Sun, Enhui Hong, Guangzhen Zhao and Guang Zhu
Molecules 2025, 30(5), 1100; https://doi.org/10.3390/molecules30051100 - 27 Feb 2025
Viewed by 198
Abstract
Sodium-ion batteries (SIBs) are a promising electrochemical energy storage system but face great challenges in developing fast-charging anodes. MXene-based composites are a new class of two-dimensional materials that are expected to be widely used in SIB energy storage due to their excellent electrical [...] Read more.
Sodium-ion batteries (SIBs) are a promising electrochemical energy storage system but face great challenges in developing fast-charging anodes. MXene-based composites are a new class of two-dimensional materials that are expected to be widely used in SIB energy storage due to their excellent electrical conductivity and stable structure. However, MXenes tend to experience interlayer stacking during preparation, which can result in poor electrochemical performance and a lower actual capacity compared to the theoretical value. In this study, the porous structure was created using a chemical oxidation method from a microscopic perspective. The porous MXene (referred to as PM) was prepared by using a low concentration of hydrogen peroxide as the pore-forming solution, which enlarged the interlayer spacing to facilitate the transport of sodium ions in the electrolyte solution. The PM with the addition of hydrogen peroxide solution achieved high-rate performance, with a capacity of 247 mAh g−1 at 0.1 A g−1 and 114 mAh g−1 at 10 A g−1. It also demonstrated long-cycle stability, with a capacity of 117 mAh g−1 maintained over 1000 cycles at 5 A g−1. Full article
(This article belongs to the Special Issue Key Electrode Materials for Batteries and Supercapacitors)
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<p>(<b>a</b>) Schematic diagram of the PM series sample preparation process; (<b>b</b>) SEM images of PM-1; (<b>c</b>) PM-2; (<b>d</b>) PM-3 at different magnifications; (<b>e</b>) TEM images of PM-1; (<b>f</b>) PM-2; (<b>g</b>) PM-3 at same magnifications.</p>
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<p>(<b>a</b>) XRD spectra; (<b>b</b>) Raman spectra; (<b>c</b>) XPS full spectrum; (<b>d</b>–<b>f</b>) XPS spectra in the Ti 2p; C 1s; and O 1s regions for all samples.</p>
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<p>(<b>a</b>) CV curve of PM-3 electrode; (<b>b</b>) charge and discharge curve; (<b>c</b>) comparison of Rate performance of all samples; (<b>d</b>) comparison of cycles at 2 A g<sup>−1</sup>; (<b>e</b>) long cycle diagram of PM-3 electrode (The blue line represents the specific discharge capacity and the orange line represents the Coulomb efficiency).</p>
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<p>Schematic representation of the ion transport rate of PM-3.</p>
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<p>The PM-3 electrode (<b>a</b>) CV curves; (<b>b</b>) current and sweep velocity plots of the peaks; (<b>c</b>) pseudocapacitance contribution plots (0.6 mV s<sup>−1</sup>); (<b>d</b>) capacitance contribution plots at different sweep speeds; (<b>e</b>) comparison of impedance data for PM-1, PM-2 and PM-3; (<b>f</b>) GITT and Na<sup>+</sup> diffusion coefficient curves of the PM-3 electrode.</p>
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<p>In situ XRD data for PM-3.</p>
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22 pages, 10026 KiB  
Article
Analysis of Research Hotspots and Trends in Confined-Space Work Safety Based on CiteSpace
by Chunli Yang, Yi Liu, Yan Dong, Shilin Hao, Yan Liu and Yan Qin
Appl. Sci. 2025, 15(5), 2452; https://doi.org/10.3390/app15052452 - 25 Feb 2025
Viewed by 219
Abstract
This study investigates the current state of research on confined-space work safety both domestically and internationally. Utilizing literature from the China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) databases as primary sources, CiteSpace was employed for a visual knowledge mapping analysis. [...] Read more.
This study investigates the current state of research on confined-space work safety both domestically and internationally. Utilizing literature from the China National Knowledge Infrastructure (CNKI) and Web of Science (WoS) databases as primary sources, CiteSpace was employed for a visual knowledge mapping analysis. By comparing the Chinese and English literature, research hotspots and developmental trends in this field across different regions were identified. The results indicate that research on confined-space work safety in China is relatively limited and commenced later than in other regions. There is a low level of cooperation among domestic organizations and authors, and interdisciplinary collaboration needs significant improvement, hindering the advancement of communication within the discipline. In China, research has long focused on accidents and asphyxiation in confined spaces, particularly within industrial and commercial enterprises, with chemical enterprise safety emerging as a potential future research hotspot. Conversely, the English-language literature has historically focused on the mechanisms of accidents, with recent years seeing a diversification of research topics. In the future, the prevention and control of risks associated with confined-space work will likely focus on mitigating risks at the source. This will include incorporating safety considerations during the design stage and utilizing automated technologies to minimize the necessity for personnel entry, thereby reducing inherent risks. This study can help researchers to comprehensively learn hotspots and trends in confined-space work safety in China and internationally, and to identify potential directions for future research. Full article
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<p>Statistics on the number of Chinese publications.</p>
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<p>Statistics on the number of English-language publications.</p>
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<p>Country cooperation mapping.</p>
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<p>Collaboration mapping between authors of Chinese publications.</p>
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<p>Collaboration mapping between authors of English-language publications.</p>
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<p>Keyword co-occurrence in the Chinese literature.</p>
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<p>Keyword co-occurrence in the English-language literature.</p>
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<p>Keyword clustering of the Chinese literature.</p>
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<p>Keyword clustering of the English-language literature.</p>
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<p>Time-series plot of keyword clustering in the Chinese literature.</p>
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<p>Time-series plot of keyword clustering in the English-language literature.</p>
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<p>Bursting map of keywords in the Chinese literature.</p>
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<p>Bursting map of keywords in the English-language literature.</p>
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<p>Summary of hotspots in the research on confined-space work.</p>
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<p>Trends in the development of confined-space work safety.</p>
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<p>Trends in research of confined-space work safety.</p>
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23 pages, 8553 KiB  
Article
Tripeptides Featuring Dehydrophenylalanine and Homophenylalanine: Homo- Versus Hetero-Chirality and Sequence Effects on Self-Assembly and Gelation
by André F. Carvalho, Teresa Pereira, Carlos Oliveira, Pedro Figueiredo, Alexandra Carvalho, David M. Pereira, Loic Hilliou, Manuel Bañobre-López, Bing Xu, Paula M. T. Ferreira and José A. Martins
Gels 2025, 11(3), 164; https://doi.org/10.3390/gels11030164 - 24 Feb 2025
Viewed by 267
Abstract
Over the years, our research group developed dehydrodipeptides N-capped with aromatic moieties as protease-resistant efficacious hydrogelators, affording self-assembled hydrogels at low (critical) concentrations. Dehydrotripeptides, with different dipeptide sequences and (D,L) stereochemistry, open a wider chemical space for the [...] Read more.
Over the years, our research group developed dehydrodipeptides N-capped with aromatic moieties as protease-resistant efficacious hydrogelators, affording self-assembled hydrogels at low (critical) concentrations. Dehydrotripeptides, with different dipeptide sequences and (D,L) stereochemistry, open a wider chemical space for the development of self-assembled soft nanomaterials. In this work, a small library of N-succinylated dehydrotripeptides containing a C-terminal dehydrophenylalanine (∆Phe) residue and a scrambled dipeptide sequence with phenylalanine (Phe) and homophenylalanine (Hph) (L-Phe-L,D-Hph and L,D-Hph-L-Phe) was synthesized and characterized as a potential hydrogelator. Two pairs of diastereomeric tripeptides were synthesized, both as C-protected methyl esters and as deprotected dicarboxylic acids. Peptides with the sequence Hph-Phe-ΔPhe were obtained as a pair (D,L,Z)/(L,L,Z) of diastereomers. Their scrambled sequence analogues Phe-Hph-ΔPhe were obtained also as a diastereomeric (L,D,Z)/(L,L,Z) pair. The effect of stereochemistry (homo- vs. hetero-chirality) and sequence (Phe-∆Phe vs. Hph-∆Phe motif) on the self-assembly, biocompatibility, gelation and rheological properties of the hydrogels was studied in this work. Accessible, both as C-protected methyl esters and as dicarboxylic acids, N-succinylated dehydrotripeptides are interesting molecular architectures for the development of supramolecular nanomaterials. Interestingly, our results do not comply with the well-documented proposition that heterochiral peptides display much higher self-assembly propensity and gelation ability than their homochiral counterparts. Further studies will be necessary to fully understand the interplay between peptide sequence and homo- and hetero-chirality on peptide self-assembly and on the properties of their supramolecular materials. Full article
(This article belongs to the Special Issue Design of Supramolecular Hydrogels)
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<p>(<b>A</b>) Detail of the <sup>1</sup>H NMR (400 MHz, DMSO-<span class="html-italic">d</span><sub>6</sub>) amide region, α-NH amide backbone protons, for dehydropeptides <b>11</b>–<b>18</b>. (<b>B</b>) Table with characteristic <sup>1</sup>H NMR signals for the α-NH protons of dehydrotripeptides <b>11</b>–<b>18</b>.</p>
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<p>Variable temperature <sup>1</sup>H-NMR analysis for the α-NH backbone amide signals for peptides: (<b>A</b>) <b>17</b>; (<b>B</b>) <b>18</b> in DMSO-<span class="html-italic">d<sub>6</sub></span> and (<b>C</b>) <b>17</b>; (<b>D</b>) <b>18</b> in DMSO-<span class="html-italic">d</span><sub>6</sub> containing 10% <span class="html-italic">v</span>/<span class="html-italic">v</span> D<sub>2</sub>O.</p>
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<p>Self-assembled cluster structures obtained by MDS for dehydropeptides <b>11</b>–<b>18</b>. The parameters SASA and volume are indicated (inside parenthesis). Dehydropeptide Suc-L-Phe-L-Phe-Z-ΔPhe-OH was included in the simulation for control purposes.</p>
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<p>Selected representative intermolecular non-covalent interactions found in peptide aggregates: Suc-L-Phe-L-Phe-Z-ΔPhe-OH (<b>A</b>), Suc-D-Hph-L-Phe-Z-ΔPhe-OMe (<b>11</b>) (<b>B</b>), Suc-D-Hph-L-Phe-Z-ΔPhe-OH (<b>15</b>) (<b>C</b>) and Suc-L-Phe-D-Hph-Z-ΔPhe-OH (<b>17</b>) (<b>D</b>). π-interactions are represented as dashed lines. Hydrogen bonds are represented as dotted lines.</p>
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<p>Illustrative example, for dehydropeptide <b>11,</b> of the procedure used for determination of the critical aggregation concentration (CAC) for dehydrotripeptides <b>11</b>–<b>18</b>: (<b>A</b>) Steady-state fluorescence spectra (λ<sub>exc</sub> = 280 nm) for dehydropeptide <b>11</b> in the concentration range 0.6 to 156 μM; (<b>B</b>) semilogarithmic graphical representation of the concentration dependence of the fluorescence intensity ratio (I<sub>368</sub>/I<sub>308</sub>).</p>
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<p>Images of the <span class="html-italic">N</span>-succinyl dehydrotripeptides hydrogels <b>11</b>–<b>18</b>.</p>
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<p>TEM images for hydrogels <b>11</b>–<b>18</b> (0.6 wt%) ((<b>A</b>–<b>H</b>) respectively), obtained by the GdL pH dropping methodology.</p>
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<p>CD spectra for dehydrotripeptides <b>11</b>–<b>18</b> (0.01 wt%, 170–175 µM). (<b>A</b>) Diastereomers <b>11</b> and <b>12</b>; (<b>B</b>) Diastereomers <b>13</b> and <b>14</b>; (<b>C</b>) Diastereomers <b>15</b> and <b>16</b> and (<b>D</b>) Diastereomers <b>17</b> and <b>18</b>.</p>
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<p>Rheological procedure deployed for characterization of hydrogels <b>11</b>–<b>18,</b> illustrated here for hydrogel <b>11</b> (0.2 wt%): (<b>A</b>) Kinetic study at constant frequency (<span class="html-italic">f</span> = 1 Hz) and strain (1 × 10<sup>−4</sup>%); (<b>B</b>) Mechanical frequency sweep, at constant strain (1 × 10<sup>−4</sup>%); (<b>C</b>) Large amplitude oscillatory shear (strain sweep) at constant frequency (<span class="html-italic">f</span> = 1 Hz); (<b>D</b>) Hydrogel reformation kinetic study at constant frequency (f = 1 Hz) and strain (1 × 10<sup>−4</sup>%); (<b>E</b>) Mechanical frequency sweep of reformed hydrogel at constant strain (1 × 10<sup>−3</sup>%); (<b>F</b>) Large amplitude oscillatory shear (strain sweep) for reformed hydrogel at constant frequency (<span class="html-italic">f</span> = 1 Hz).</p>
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<p>Strain sweep experiments at constant frequency, <span class="html-italic">f</span> = 1 Hz (solid symbols: G′; empty symbols: G″; blue: 0.2 wt%; red: 0.6 wt%) for hydrogels <b>11</b>–<b>18</b> ((<b>A</b>) compound <b>11</b>, (<b>B</b>) compound <b>12</b>, (<b>C</b>) compound <b>13</b>, (<b>D</b>) compound <b>14</b>, (<b>E</b>) compound <b>15</b>, (<b>F</b>) compound <b>16</b>, (<b>G</b>) compound <b>17</b>, (<b>H</b>) compound <b>18</b>) before and after breaking.</p>
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<p>MTT evaluation of the impact of dehydrotripeptides <b>11</b>–<b>18</b> (<b>A</b>–<b>H</b>), in the concentration range 10–200 µM, over 24 h incubation period, towards the viability of non-cancerous human bone marrow stromal cell line (HS-5).</p>
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<p>Synthetic pathway for <span class="html-italic">N</span>-succinyl dehydrotripeptides <b>11</b>–<b>18</b>. (a) (i) Boc<sub>2</sub>O, DMAP, dry MeCN, (ii) TMG; (b) Boc-AA-OH, HBTU, Et<sub>3</sub>N, MeCN; (c) (i) TFA, (ii) succinic anhydride, pyridine, N<sub>2</sub> atmosphere; (d) (i) NaOH (1 M), 1,4-dioxane, (ii) HCl (1 M). TMG = 1,1,3,3-Tetramethyguanidine; HBTU = Hexafluorophosphate Benzotriazole Tetramethyl Uronium.</p>
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<p>Summary of the stereochemical relationship between dehydrotripeptides <b>11</b>–<b>18</b>.</p>
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13 pages, 2092 KiB  
Article
CH3OH•+ + CH4 Reaction: Mechanistic Insights and Reaction Rates for Astrochemical and Atmospheric Environments
by Mauro Satta, Daniele Catone, Mattea Carmen Castrovilli, Francesca Nicolanti and Antonella Cartoni
Molecules 2025, 30(5), 1029; https://doi.org/10.3390/molecules30051029 - 24 Feb 2025
Viewed by 312
Abstract
The reaction between methanol radical cations and methane, producing methyl radicals and protonated methanol, is pivotal to both astrochemical and atmospheric processes. Methanol and methane are the most abundant organic molecules in space and Earth’s atmosphere and central to molecular synthesis under different [...] Read more.
The reaction between methanol radical cations and methane, producing methyl radicals and protonated methanol, is pivotal to both astrochemical and atmospheric processes. Methanol and methane are the most abundant organic molecules in space and Earth’s atmosphere and central to molecular synthesis under different environmental conditions. Here, we present a combined experimental and theoretical investigation of the ion–molecule reaction between CH3OH•+ and CH4. The study explores the reaction mechanism and energetics under ionized conditions utilizing quantum chemical methods and experimental data. The findings reveal that the reaction’s non-thermal behavior becomes pronounced when CH3OH•+ is vibrationally excited by photon absorption above the ionization threshold, as can happen in the presence of ionizing agents like cosmic rays. Conversely, in thermal equilibrium conditions, the reaction accelerates as temperatures decrease, as suggested by canonical rate coefficient calculations. The products can initiate further chemical reactions, shaping molecular networks in the interstellar medium and affecting atmospheric trace gas balances. Full article
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<p>Mass spectra of the CH<sub>3</sub>OH<sup>+</sup> ion acquired at the photon energy of 11.5 eV without (black line) and with CH<sub>4</sub> (blue line) and CD<sub>4</sub> (red line) in the reaction cell, at the nominal methane pressure of about 9.5 × 10<sup>−5</sup> mbar and CE = 0. In the inset, the reaction scheme.</p>
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<p>CH<sub>3</sub>OH<sub>2</sub><sup>+</sup> (<span class="html-italic">m</span>/<span class="html-italic">z</span>= 33)/CH<sub>3</sub>OH<sup>+</sup> (<span class="html-italic">m</span>/<span class="html-italic">z</span> = 32) ratio as a function of photon energy (eV) at different nominal methane pressures.</p>
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<p>Minimum Energy Path of the reaction between methanol radical cation and methane. The green circles indicate the position of the local energy minimum M1, the red triangle the position of VTS and the orange circles the position of the absolute minimum M2. The red line in the first panel is the energy reference associated with the reactive molecules, while the blue line indicates the energy of the products. See the text for further details.</p>
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<p>(<b>a</b>) Partial spin distribution of the reactive species along the MEP. (<b>b</b>) Partial charges of the reactive species along the MEP. H, presented as the green line, is the hydrogen transferred from methane to the oxygen of methanol.</p>
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<p>Rate coefficients for the title reaction as a function of the photon energy <span class="html-italic">hν</span> used to ionize the methanol molecule. The black dots, red squares, and blue diamonds represent rate coefficients at different methane pressures.</p>
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<p>Canonical rate coefficients of the title reaction as a function of temperature. The purple circle, the green square, and the orange triangle represent the experimental rate coefficients at different pressures of CH<sub>4</sub> at the ionization threshold <span class="html-italic">hν</span> = 11.85 eV. The dashed red line is the Langevin rate coefficient.</p>
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<p>Vibrational energy of CH<sub>3</sub>OH<sup>+</sup> and the µ<span class="html-italic">VTS</span> complex obtained by fitting the microcanonical rate with the experimental rates. Dashed lines are only drawn as a guide for the eye. See further details in the main text.</p>
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11 pages, 911 KiB  
Communication
Sustainable Synthesis of α-Glucosidase Inhibitors by Gas-Free Pd-Carbonylation of Nature-Based Hydroxytyrosol
by Francesco Messa, Domenico Armenise, Anselma Liturri, Maria Grazia Perrone, Serena Perrone and Antonio Salomone
Catalysts 2025, 15(3), 202; https://doi.org/10.3390/catal15030202 - 21 Feb 2025
Viewed by 343
Abstract
This study outlines the sustainable synthesis of novel hydroxytyrosol (HT) and tyrosol (T) ester derivatives via a Pd-catalyzed alkoxycarbonylation of aromatic iodides. The high sustainability of the process is attributed to the use of (1) a solid carbon monoxide source, Mo(CO)6, [...] Read more.
This study outlines the sustainable synthesis of novel hydroxytyrosol (HT) and tyrosol (T) ester derivatives via a Pd-catalyzed alkoxycarbonylation of aromatic iodides. The high sustainability of the process is attributed to the use of (1) a solid carbon monoxide source, Mo(CO)6, in place of dangerous gaseous CO; (2) a biomass-derived organic solvent, CPME (cyclopentyl methyl ether); (3) naturally occurring hydroxylated compounds, such as HT and T, which could be derived from agricultural waste rather than produced from petroleum-based sources. The method enables the regioselective preparation of various HT and T esters in a short reaction time (4–8 h), under mild temperatures (80 °C), and with moderate-to-excellent yields (62–93%). Moreover, in vitro biological tests have demonstrated that, in addition to the well-known antioxidant properties typical of natural phenolic compounds such as HT and T, some of the newly synthesized derivatives have a safe profile and are effective inhibitors of the α-glucosidase with potential application in the management of hyperglycemia. This synthetic approach offers a promising strategy for exploring biologically relevant chemical space, bridging the gap between natural products and sustainable drug synthesis. Full article
(This article belongs to the Special Issue Recent Advances in Palladium-Catalyzed Organic Synthesis)
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<p>α-glucosidase inhibitory activity of HT-derivatives <b>3bb</b>, <b>3bc</b>, <b>3be</b>, <b>3bf</b>, and <b>3bg</b> compared to HT as reference.</p>
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<p>Antioxidant activity of HT-derivatives <b>3bb</b>, <b>3bc</b>, <b>3be</b>, <b>3bf</b>, and <b>3bg</b> measured by ABTS (<b>left</b>) and DPPH (<b>right</b>) assays. The activity is expressed as radical scavenging inhibition percentage (RSA%) against the Log of concentration and compared to HT and GA molecules, used as references.</p>
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<p>The scope of Pd-Catalyzed carbonylative coupling between alcohols <b>1a</b>,<b>b</b> and (hetero)aromatic iodides <b>2b</b>–<b>h</b> in CPME as a green medium, with Mo(CO)<sub>6</sub> as a safe CO source. Reaction conditions: alcohol <b>1a</b>,<b>b</b> (0.75 mmol), aryl iodide <b>2b</b>–<b>h</b> (0.5 mmol), Pd(OAc)<sub>2</sub> (5.0 mol%), DBU (1.5 mmol), Mo(CO)<sub>6</sub> (0.5 mmol), DBU (1.5 mmol), CPME (2.0 mL), 80 °C, 4 h. Isolated yields are reported in brakets. For the preparation of esters <b>3be</b>, <b>3bf</b>, <b>3bc</b> and <b>3bh</b> the reaction time is 8 h.</p>
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20 pages, 4144 KiB  
Article
Fine Estimation of Water Quality in the Yangtze River Basin Based on a Geographically Weighted Random Forest Regression Model
by Fuliang Deng, Wenhui Liu, Mei Sun, Yanxue Xu, Bo Wang, Wei Liu, Ying Yuan and Lei Cui
Remote Sens. 2025, 17(4), 731; https://doi.org/10.3390/rs17040731 - 19 Feb 2025
Viewed by 222
Abstract
Water quality evaluation usually relies on limited state-controlled monitoring data, making it challenging to fully capture variations across an entire basin over time and space. The fine estimation of water quality in a spatial context presents a promising solution to this issue; however, [...] Read more.
Water quality evaluation usually relies on limited state-controlled monitoring data, making it challenging to fully capture variations across an entire basin over time and space. The fine estimation of water quality in a spatial context presents a promising solution to this issue; however, traditional analyses often ignore spatial non-stationarity between variables. To solve the above-mentioned problems in water quality mapping research, we took the Yangtze River as our study subject and attempted to use a geographically weighted random forest regression (GWRFR) model to couple massive station observation data and auxiliary data to carry out a fine estimation of water quality. Specifically, we first utilized state-controlled sections’ water quality monitoring data as input for the GWRFR model to train and map six water quality indicators at a 30 m spatial resolution. We then assessed various geographical and environmental factors contributing to water quality and identified spatial differences. Our results show accurate predictions for all indicators: ammonia nitrogen (NH3-N) had the lowest accuracy (R2 = 0.61, RMSE = 0.13), and total nitrogen (TN) had the highest (R2 = 0.74, RMSE = 0.48). The mapping results reveal total nitrogen as the primary pollutant in the Yangtze River basin. Chemical oxygen demand and the permanganate index were mainly influenced by natural factors, while total nitrogen and total phosphorus were impacted by human activities. The spatial distribution of critical influencing factors shows significant clustering. Overall, this study demonstrates the fine spatial distribution of water quality and provides insights into the influencing factors that are crucial for the comprehensive management of water environments. Full article
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<p>The study area encompasses the Yangtze River basin. Highlighted on a gray base map are the provinces through which the river flows. The color map shows the extent of the basin, depicting various land cover types in detail, where different colors (from the China Land Cover Dataset) represent different types of land cover, such as farmland, forest, impervious land, etc. The blue line in the figure shows the rivers flowing through the Yangtze River basin.</p>
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<p>A diagram of the overall flow of this paper.</p>
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<p>An accuracy analysis of the water quality prediction model trained in this paper. Each chart represents a scatter plot between the predicted water quality results of each indicator and the corresponding real sample. The water quality indicators, listed from left to right and top to bottom, are COD<sub>Cr</sub>, COD<sub>Mn</sub>, DO, NH<sub>3</sub>-N, TN, and TP.</p>
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<p>The mapping results of the water quality in the Yangtze River basin: (<b>a</b>–<b>f</b>) represent the mapping results of the COD<sub>Cr</sub>, COD<sub>Mn</sub>, DO, NH<sub>3</sub>-N, TN, and TP in the Yangtze River basin.</p>
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<p>Part of the influencing factors used in this paper: (<b>a</b>–<b>d</b>) represent the mapping of elevation, rainfall, factory density, and population density in the Yangtze River basin, respectively.</p>
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<p>Importance ranking of influencing factors of six water quality indicators: (<b>a</b>–<b>f</b>) represent diagrams of the COD<sub>Cr</sub>, COD<sub>Mn</sub>, DO, NH<sub>3</sub>-N, TN, and TP, respectively.</p>
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<p>Distribution of key influencing factors of six water quality indicators in each section control unit; (<b>a</b>–<b>f</b>) represent diagrams of the COD<sub>Cr</sub>, COD<sub>Mn</sub>, DO, NH<sub>3</sub>-N, TN, and TP, respectively.</p>
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30 pages, 3561 KiB  
Review
Physical and Mechanical Properties and Constitutive Model of Rock Mass Under THMC Coupling: A Comprehensive Review
by Jianxiu Wang, Bilal Ahmed, Jian Huang, Xingzhong Nong, Rui Xiao, Naveed Sarwar Abbasi, Sharif Nyanzi Alidekyi and Huboqiang Li
Appl. Sci. 2025, 15(4), 2230; https://doi.org/10.3390/app15042230 - 19 Feb 2025
Viewed by 297
Abstract
Research on the multi-field coupling effects in rocks has been ongoing for several decades, encompassing studies on single physical fields as well as two-field (TH, TM, HM) and three-field (THM) couplings. However, the environmental conditions of rock masses in deep resource extraction and [...] Read more.
Research on the multi-field coupling effects in rocks has been ongoing for several decades, encompassing studies on single physical fields as well as two-field (TH, TM, HM) and three-field (THM) couplings. However, the environmental conditions of rock masses in deep resource extraction and underground space development are highly complex. In such settings, rocks are put through thermal-hydrological-mechanical-chemical (THMC) coupling effects under peak temperatures, strong osmotic pressures, extreme stress, and chemically reactive environments. The interaction between these fields is not a simple additive process but rather a dynamic interplay where each field influences the others. This paper provides a comprehensive analysis of fragmentation evolution, deformation mechanics, mechanical constitutive models, and the construction of coupling models under multi-field interactions. Based on rock strength theory, the constitutive models for both multi-field coupling and creep behavior in rocks are developed. The research focus on multi-field coupling varies across industries, reflecting the diverse needs of sectors such as mineral resource extraction, oil and gas production, geothermal energy, water conservancy, hydropower engineering, permafrost engineering, subsurface construction, nuclear waste disposal, and deep energy storage. The coupling of intense stress, fluid flow, temperature, and chemical factors not only triggers interactions between these fields but also alters the physical and mechanical properties of the rocks themselves. Investigating the mechanical behavior of rocks under these conditions is essential for averting accidents and assuring the soundness of engineering projects. Eventually, we discuss vital challenges and future directions in multi-field coupling research, providing valuable insights for engineering applications and addressing allied issues. Full article
(This article belongs to the Special Issue Earthquake Engineering and Seismic Risk)
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<p>Internal microstructure and chemical damage in oil shale.</p>
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<p>THMD coupling mode [<a href="#B133-applsci-15-02230" class="html-bibr">133</a>].</p>
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<p>Schematic sketch of in situ stress on the tunnel with peak ground temperature [<a href="#B135-applsci-15-02230" class="html-bibr">135</a>].</p>
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<p>Schematic illustration of (<b>a</b>) the attribution of THMC coupling and (<b>b</b>) THMC behavior for landfill catastrophe process.</p>
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<p>General description of fractured rock mass deformation [<a href="#B141-applsci-15-02230" class="html-bibr">141</a>]. (<b>a</b>) Effective confining pressure, (<b>b</b>) volume deformation, (<b>c</b>) shear deformation, (<b>d</b>) effective normal stress, (<b>e</b>) normal deformation of fracture, (<b>f</b>) and tangential deformation of fracture.</p>
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<p>Common fields and coupling relationships of THMC-coupled rock mass [<a href="#B135-applsci-15-02230" class="html-bibr">135</a>].</p>
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<p>Theory of rock strength.</p>
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<p>Conceptual model of the coupled THM.</p>
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<p>Interrelationships between hydrothermal processes.</p>
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10 pages, 8894 KiB  
Communication
Preparation and Performance Optimization of Fe2+:ZnSe Solid Solution by High-Pressure–High-Temperature Method
by Lijuan Wang, Haohao Yang, Shiyun Zheng, Xin Fan, Qiong Gao, Fangbiao Wang, Qi Chen, Peng Liu and Linjun Li
Materials 2025, 18(4), 896; https://doi.org/10.3390/ma18040896 - 19 Feb 2025
Viewed by 288
Abstract
In this paper, high-purity zinc selenide (ZnSe) prepared by the Chemical Vapor Deposition (CVD) method was used as the raw material, and iron ion-doped zinc selenide polycrystals were successfully fabricated through the thermal diffusion method at 1100 °C for 30 h. The results [...] Read more.
In this paper, high-purity zinc selenide (ZnSe) prepared by the Chemical Vapor Deposition (CVD) method was used as the raw material, and iron ion-doped zinc selenide polycrystals were successfully fabricated through the thermal diffusion method at 1100 °C for 30 h. The results showed that iron ions (Fe2+) successfully penetrated into the zinc selenide crystals, but the concentration of iron ions inside the crystals was relatively low, and the crystals exhibited numerous defects. To address this issue, we performed secondary sintering and annealing on the samples under high-temperature and high-pressure (HPHT) conditions, with the annealing temperature range set at 900–1200 °C. The results demonstrated that, under the synergistic effects of high temperature and high pressure, the lattice spacing in the crystals significantly decreased, defects were reduced, the distribution of iron ions became more uniform, and the concentration of iron ions in the central region increased. Additionally, the density and hardness of the samples were significantly improved. The method of secondary sintering under high-temperature and high-pressure provides a novel approach for the preparation of iron ion-doped zinc selenide polycrystalline ceramics, contributing to the enhancement of ceramic properties. Full article
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<p>Flow chart of sample preparation process: (<b>a</b>) thermal diffusion preparation; process (<b>b</b>) 1—chlorite block; 2—graphite flake; 3—dolomite ring; 4—steel cap; 5—copper flake; 6—NaCl + ZrO<sub>2</sub> lined tube; 7—graphite tube; 8—insulated tube; 9—sample.</p>
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<p>The XRD pattern of the sample (ZnSe).</p>
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<p>The Raman spectra of the samples (ZnSe).</p>
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<p>Surface morphology (SEM) of ZnSe samples after different annealing temperatures: (<b>a</b>) unannealed, (<b>b</b>) 900 °C, (<b>c</b>) 1000 °C, (<b>d</b>) 1100 °C, and (<b>e</b>) 1200 °C.</p>
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<p>The EDS spectrum of the surface of the unannealed ZnSe sample; (<b>a</b>) Fe<sup>2+</sup>: ZnSe full element distribution map; (<b>b</b>) Surface morphology of Fe<sup>2+</sup>:ZnSe; (<b>c</b>) Distribution map of Se element; (<b>d</b>) Distribution map of Zn element; (<b>e</b>) Distribution map of Fe element; (<b>f</b>) Identification table of EDS elemental composition for selected areas.</p>
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<p>The EDS spectrum of the center of the unannealed ZnSe sample; (<b>a</b>) Fe<sup>2+</sup>: ZnSe full element distribution map; (<b>b</b>) Surface morphology of Fe<sup>2+</sup>:ZnSe; (<b>c</b>) Distribution map of Se element; (<b>d</b>) Distribution map of Zn element; (<b>e</b>) Distribution map of Fe element; (<b>f</b>) Identification table of EDS elemental composition for selected areas.</p>
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<p>The EDS spectrum of the center of the ZnSe sample after annealing at 1100 °C; (<b>a</b>) Fe<sup>2+</sup>: ZnSe full element distribution map; (<b>b</b>) Surface morphology of Fe<sup>2+</sup>:ZnSe; (<b>c</b>) Distribution map of Se element; (<b>d</b>) Distribution map of Zn element; (<b>e</b>) Distribution map of Fe element; (<b>f</b>) Identification table of EDS elemental composition for selected areas.</p>
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<p>TEM patterns of samples (ZnSe): (<b>a</b>) Fe<sup>2+</sup>: ZnSe prepared by thermal diffusion method; (<b>a<sub>1</sub></b>) is a partial image of (<b>a</b>), and (<b>a<sub>2</sub></b>) is the Fourier transform of (<b>a<sub>1</sub></b>); (<b>b</b>) Fe<sup>2+</sup>: ZnSe annealed at 1100 °C by high-temperature and high-pressure method; (<b>b<sub>1</sub></b>) is a partial image of (<b>b</b>), and (<b>b<sub>2</sub></b>) is the Fourier transform of (<b>b<sub>1</sub></b>).</p>
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15 pages, 4184 KiB  
Article
Photocatalysis of Methyl Orange (MO), Orange G (OG), Rhodamine B (RhB), Violet and Methylene Blue (MB) Under Natural Sunlight by Ba-Doped BiFeO3 Thin Films
by Abderrahmane Boughelout, Abdelmadjid Khiat and Roberto Macaluso
Materials 2025, 18(4), 887; https://doi.org/10.3390/ma18040887 - 18 Feb 2025
Viewed by 264
Abstract
We present structural, morphological, optical and photocatalytic properties of multiferroic Bi0.98Ba0.02FeO3 (BBFO2) perovskite thin films prepared by a combined sol–gel and spin-coating method. X-ray diffraction (XRD) analysis revealed that all the perovskite films consisted of the stable polycrystalline [...] Read more.
We present structural, morphological, optical and photocatalytic properties of multiferroic Bi0.98Ba0.02FeO3 (BBFO2) perovskite thin films prepared by a combined sol–gel and spin-coating method. X-ray diffraction (XRD) analysis revealed that all the perovskite films consisted of the stable polycrystalline rhombohedral phase structure (space group R3c) with a tolerance factor of 0.892. By using Rietveld refinement of diffractogram XRD data, crystallographic parameters, such as bond angle, bond length, atom position, unit cell parameters, and electron density measurements were computed. Scanning electron microscopy (SEM) allowed us to assess the homogeneous and smooth surface morphology of the films with a small degree of porosity, while chemical surface composition characterization by X-ray photoelectron spectroscopy (XPS) showed the presence of Bi, Fe, O and the doping element Ba. Absorption measurements allowed us to determine the energy band gap of the films, while photoluminescence measurements have shown the presence of oxygen vacancies, which are responsible for the enhanced photocatalytic activity of the material. Photocatalytic degradation experiments of Methylene Blue (MB), Methyl orange (MO), orange G (OG), Violet and Rhodamine B (RhB) performed on top of BBFO2 thin films under solar light showed the degradation of all pollutants in varying discoloration efficiencies, ranging from 81% (RhB) to 54% (OG), 53% (Violet), 47% (MO) and 43% (MB). Full article
(This article belongs to the Special Issue Halide Perovskite Crystal Materials and Optoelectronic Devices)
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<p>Schematic diagram of the reactor used for the photocatalytic experiments. The arrows indicate the direction of the coolant.</p>
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<p>(<b>a</b>) Measured (black), Rietveld-refined (red), and difference between measured and refined data (blue) XRD patterns using the FullProf program for a BBFO2 thin film. The vertical bars (green) indicate the angular position of the allowed Bragg reflections. (<b>b</b>) The three-dimensional schematic representation of the BBFO2 unit cell with a trigonal structure in a hexagonal setting.</p>
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<p>Two-dimensional and three-dimensional Fourier maps along (x, y, 0), (0, y, z) and (x, 0, z) planes to visualize the electron density (ED) distribution for the BBFO2 film, measured in the number of electrons per cubic Angstrom, n/Å<sup>3</sup>.</p>
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<p>SEM top view of a representative BBFO2 thin film.</p>
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<p>Deconvoluted core level XPS spectra of (<b>a</b>) Bi 4f, (<b>b</b>) O 1s, (<b>c</b>) Fe 2p and (<b>d</b>) Ba 3d of a Ba-doped BFO thin film. The black curves represent the experimental data, while the blue curves are the corresponding fittings. Red, green and cyan curves are the fitted subpeaks.</p>
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<p>BBFO2 film absorbance spectrum. The inset shows Tauc’s plot for energy band gap determination.</p>
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<p>Photoluminescence spectrum of undoped (blue curve) and Ba-doped (red curve) BFO thin films.</p>
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<p>Absorption spectra before and after the photodegradation of (<b>a</b>) OG, (<b>b</b>) Violet, (<b>c</b>) RhB, (<b>d</b>) MO and (<b>e</b>) MB solutions in the presence of BBFO2 films before and after light exposure (6 h). Each plot reports the degradation percentual with respect to the non-exposure condition.</p>
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<p>Photocatalytic degradation of MO, OG, RhB, Violet and MB.</p>
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<p>Photocatalytic mechanism diagram of MO, OG, RhB, Violet and MB in Ba-doped BFO thin films, under natural sunlight.</p>
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16 pages, 5534 KiB  
Article
Femtosecond Laser Textured Surfaces for Radiative Cooling: Black Metals
by Nan Zheng, Ričardas Buividas, Hsin-Hui Huang, Dominyka Stonytė, Suresh Palanisamy, De Ming Zhu, Tomas Katkus, Maciej Kretkowski, Yoshiaki Nishijima, Lina Grineviciute, Paul R. Stoddart and Saulius Juodkazis
Appl. Sci. 2025, 15(4), 2076; https://doi.org/10.3390/app15042076 - 16 Feb 2025
Viewed by 455
Abstract
There is a growing need for novel methods to modify the surfaces of a wide range of materials over large areas. Here, we demonstrate the creation of low-reflectance (R<2%) surfaces in the near-to-mid infrared (IR) spectral window of [...] Read more.
There is a growing need for novel methods to modify the surfaces of a wide range of materials over large areas. Here, we demonstrate the creation of low-reflectance (R<2%) surfaces in the near-to-mid infrared (IR) spectral window of 2–20 μm by ablating W, Al, and Cu with high average intensity 20–120 TW/cm2, 200 fs laser pulses at 1030 nm wavelength. The chemical modifications of the surfaces by laser ablation under ambient room conditions were analyzed using X-ray photoelectron spectroscopy (XPS). The results show a consistent decrease in the metallic component, accompanied by an increase in metal oxides. Energy dispersive spectroscopy (EDS) showed a similar increase in oxygen content over a micrometer depth scale. The reduced refractive index of the metal oxides compared to the corresponding metals contributes to the reduction in IR reflectance, combined with the formation of 3D hierarchically textured surface structures. These IR-black metals exhibit great potential for radiative cooling at elevated temperatures relevant to industrial and space applications. Full article
(This article belongs to the Section Optics and Lasers)
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<p>Fs-laser ablation of (<b>a</b>) tungsten with various pulse spacing (10–0.25 <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m) and number of passes (1, 5), (<b>b</b>) aluminum with various pulse spacing (42–7 <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m) and fluence per pulse (28.3–5.7 J/cm<sup>2</sup>), (<b>c</b>) copper (the same ablation condition as aluminum).</p>
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<p>(<b>a</b>) Reflectance of Al after ablation by 1030 nm/200 fs/0.1 MHz irradiation at different scanning speeds corresponding to different in-line separation between pulses <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>x</mi> </mrow> </semantics></math> = (7–42) <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m (1-to-5) and different pulse energies <math display="inline"><semantics> <mrow> <msub> <mi>E</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>0.8</mn> </mrow> </semantics></math> mJ (1) to 0.16 mJ (5). The focal spot size is <math display="inline"><semantics> <mrow> <mo>∼</mo> <mn>60</mn> <mspace width="3.33333pt"/> <mi>μ</mi> </mrow> </semantics></math>m; the inset photo shows a test matrix of <math display="inline"><semantics> <mrow> <mn>1</mn> <mo>×</mo> <mn>1</mn> </mrow> </semantics></math> mm<sup>2</sup> test fields. Polarisation on the sample is close to circular. The high emissivity <math display="inline"><semantics> <mrow> <mi>E</mi> <mo>≥</mo> <mn>0.94</mn> </mrow> </semantics></math> of black body spray-coated samples with ∼<math display="inline"><semantics> <mrow> <mn>0.2</mn> </mrow> </semantics></math> mm thickness using Tasko TA410KS dye was used for the reference. (<b>b</b>) SEM image of black-Al with typical surface of low-<span class="html-italic">R</span> in the IR spectral window; the fabrication condition: pulse spacing 14 <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m, fluence per pulse 28.3 J/cm<sup>2</sup>.</p>
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<p>The IR reflectance spectra at the wavelength of 1.5–18 <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m for (<b>a</b>) tungsten, ablated with different fluence for the largest pulse-to-pulse overlap <math display="inline"><semantics> <mrow> <msub> <mo>Δ</mo> <mrow> <mi>x</mi> <mo>,</mo> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>7</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m; (<b>b</b>) aluminum (ablated with different fluence for the largest pule-to-pulse overlap <math display="inline"><semantics> <mrow> <msub> <mo>Δ</mo> <mrow> <mi>x</mi> <mo>,</mo> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>7</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m) and (<b>c</b>) different pulse spacing (at <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>28.3</mn> </mrow> </semantics></math> J/cm<sup>2</sup>); copper ablated with (<b>d</b>) different fluence (for the largest pule-to-pulse overlap <math display="inline"><semantics> <mrow> <msub> <mo>Δ</mo> <mrow> <mi>x</mi> <mo>,</mo> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>7</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m) and (<b>e</b>) different pulse spacing at <math display="inline"><semantics> <mrow> <msub> <mi>F</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>28.3</mn> </mrow> </semantics></math> J/cm<sup>2</sup>.</p>
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<p>The average reflectance <span class="html-italic">R</span> at 1.5–18 <math display="inline"><semantics> <mi mathvariant="sans-serif">μ</mi> </semantics></math>m spectral window for (<b>a</b>) Al, (<b>b</b>) Cu, corresponding to the labeled areas in <a href="#applsci-15-02076-f001" class="html-fig">Figure 1</a>. (<b>c</b>) The ablated volume and (<b>d</b>) the average ablation depth of Al with the change in pulse spacing and fluence. The ablation volume was calculated as <span class="html-italic">V</span> = <span class="html-italic">∫∫ D(x,y)dA</span>, where <span class="html-italic">D(x,y)</span> is the local depth function over the measured region, and <math display="inline"><semantics> <mrow> <mi>d</mi> <mi>A</mi> </mrow> </semantics></math> is the infinitesimal area element, the same as <math display="inline"><semantics> <mrow> <mo>(</mo> <mi>d</mi> <mi>x</mi> <mspace width="0.166667em"/> <mi>d</mi> <mi>y</mi> </mrow> </semantics></math>). The ablation depth is the average value of depth (distance from the bottom of the ablated area to the xy-plane).</p>
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<p>SEM images of laser machined (<b>a</b>) W, (<b>b</b>) Al, and (<b>c</b>) Cu surfaces ablated by 1030 nm/200 fs/0.1 MHz pulses. Sample nomenclature is according to the <a href="#applsci-15-02076-f001" class="html-fig">Figure 1</a>. The W fabricated at the same fluence 24.76 J/cm<sup>2</sup> with the change of pulse-to-pulse spacing and number of passes as W–1: <math display="inline"><semantics> <mrow> <mn>10</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m and 1 pass, W–2: <math display="inline"><semantics> <mrow> <mn>10</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m and 5 passes, W–5: <math display="inline"><semantics> <mrow> <mn>0.5</mn> <mspace width="3.33333pt"/> <mi>μ</mi> </mrow> </semantics></math>m and 1 pass. The Al and Cu were fabricated with the change of fluence and pulse-to-pulse spacing as Al–1 and Cu–1: 28.3 J/cm<sup>2</sup> and <math display="inline"><semantics> <mrow> <msub> <mo>Δ</mo> <mrow> <mi>x</mi> <mo>,</mo> <mi>y</mi> </mrow> </msub> <mo>=</mo> <mn>7</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m, Al–5 and Cu–5: 5.7 J/cm<sup>2</sup> and <math display="inline"><semantics> <mrow> <mn>7</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m, Al–16 and Cu–16: 28.3 J/cm<sup>2</sup> and <math display="inline"><semantics> <mrow> <mn>42</mn> <mspace width="3.33333pt"/> <mi mathvariant="sans-serif">μ</mi> </mrow> </semantics></math>m.</p>
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<p>XPS analysis of pristine W, Al, Cu coupons and laser patterned at different conditions (see <a href="#applsci-15-02076-f001" class="html-fig">Figure 1</a> for marking).</p>
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