[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (980)

Search Parameters:
Keywords = electro-optics

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
12 pages, 6137 KiB  
Article
520 μJ Microsecond Burst-Mode Pulse Fiber Amplifier with GHz-Tunable Intra-Burst Pulse and Flat-Top Envelope
by Yanran Gu, Xinyue Niu, Muyu Yi, Jinmei Yao, Langning Wang, Tao Xun and Jinliang Liu
Photonics 2025, 12(2), 97; https://doi.org/10.3390/photonics12020097 - 22 Jan 2025
Abstract
We present a 520 μJ microsecond burst-mode pulse fiber amplifier with a GHz-tunable intra-burst repetition rate and a nearly flat-top pulse envelope. The amplifier architecture comprises a microsecond pulse seed, a high-bandwidth electro-optic modulator (EOM), two pre-amplifier stages, a waveform-compensated acoustic-optic modulator (AOM), [...] Read more.
We present a 520 μJ microsecond burst-mode pulse fiber amplifier with a GHz-tunable intra-burst repetition rate and a nearly flat-top pulse envelope. The amplifier architecture comprises a microsecond pulse seed, a high-bandwidth electro-optic modulator (EOM), two pre-amplifier stages, a waveform-compensated acoustic-optic modulator (AOM), and two main amplifier stages. To address amplified spontaneous emission (ASE) and nonlinear effects, a multistage synchronous pumping scheme that achieved a maximum energy output of 520 μJ and has a peak power of 160 W was used. To produce a flat-topped burst pulse envelope, the AOM generates an editable waveform with a leading edge and a high trailing edge to compensate for waveform distortion, resulting in a 5 μs nearly flat-top pulse envelope at maximum energy. The laser provides an adjustable intra-burst pulse repetition rate range of 1–5 GHz through the high-bandwidth EOM modulation. The intra-burst pulse jitter time of the laser remains below 4.31 ps at different frequencies. Moreover, the beam quality of the amplifier is M2x = 1.04 and M2y = 1.1. This amplifier exhibits promising potential and can be further amplified as an optical drive source for high-power, large-bandwidth microwave photon (MWP) radar applications. Meanwhile, it is also potentially applicable as a pulse source for high-speed optical communications, the high-precision processing of special materials, and LIDAR ranging. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of high-power microwave photon radar, DC: direct-current, PCSS: photoconductive semiconductor switch, RF: radio frequency.</p>
Full article ">Figure 2
<p>(<b>a</b>) Schematic diagram of microsecond burst-mode GHz-tunable fiber laser system. ISO: isolator, EOM: electro-optic modulator, TWDM: taper/wavelength division multiplexing, IBPTWDM: isolator/bandpass/taper/wavelength division multiplexing, IBP: isolator and bandpass filter hybrid, YSF: ytterbium-doped single-mode fiber, YDF: ytterbium-doped fiber; AOM: acousto-optic modulator, LD: laser diode, AWG: arbitrary waveform generator, SG: signal generator, (<b>b</b>) schematic diagram of the synchronously triggered time sequence for each stage.</p>
Full article ">Figure 3
<p>(<b>a</b>) The characteristics of the single pulse seed, (<b>b</b>) the spectrum of the microsecond pulse seed, (<b>c</b>) the AWG pre-compensation signal waveform, (<b>d</b>) pre-compensated temporal waveform of the burst-mode pulse seed. The pre-compensated temporal shape of the burst-mode laser is depicted in (<b>d</b>), where the temporal shape aligns with the AWG compensation signal. The FWHM of the pre-compensated envelope is 4.2 μs. The secondary pre-amplifier achieves a maximum energy of 26.6 μJ.</p>
Full article ">Figure 4
<p>(<b>a</b>) The output energy in relation to the input pump energy of the amplifier, (<b>b</b>) the spectrum of the amplifier at different output energy levels, (<b>c</b>) the temporal envelope evolution of the burst-mode pulse at different energy levels, (<b>d</b>) the long-term stability of the burst-mode laser measured over 10 min.</p>
Full article ">Figure 5
<p>(<b>a</b>) The adjustability of the burst-mode laser frequency within the range of 1–5 GHz, (<b>b</b>) intra-burst pulse period of 200 ps—1 ns is tunable at various intra-burst repetition rates of 1–5 GHz with a sinusoidal waveform.</p>
Full article ">Figure 6
<p>(<b>a</b>) Schematic diagram of TIE measurement method, (<b>b</b>) TIE at different frequencies of 1–5 GHz at different stages of the amplifier.</p>
Full article ">Figure 7
<p>(<b>a</b>) Experimental configuration of beam quality analysis for the burst-mode laser, (<b>b</b>) the beam quality test results.</p>
Full article ">
11 pages, 2792 KiB  
Article
Enhancement of Spin Wave Transmission Through Antiferromagnet in Pt/NiO/CoFeB Heterostructure
by Wei Shi, Yangkai Wang, Zhixin Liu, Yilin Pei, Qiuping Huang, Zhengping Fu, Jianlin Wang and Yalin Lu
Magnetochemistry 2025, 11(2), 7; https://doi.org/10.3390/magnetochemistry11020007 - 22 Jan 2025
Abstract
A significant enhancement of the spin current transmission through the antiferromagnetic insulating material NiO in Pt/NiO/CoFeB heterostructures was observed in this work. The ultrafast spin currents excited by laser pulses were injected into the Pt layers after passing through the NiO layers, and [...] Read more.
A significant enhancement of the spin current transmission through the antiferromagnetic insulating material NiO in Pt/NiO/CoFeB heterostructures was observed in this work. The ultrafast spin currents excited by laser pulses were injected into the Pt layers after passing through the NiO layers, and then transient charge currents were generated via the inverse spin Hall effect (ISHE), leading to a terahertz (THz) emission from the structure. The emitted THz signals were measured using electro-optic sampling with a ZnTe crystal. Thin NiO layers remarkably enhanced the THz signal amplitude, suggesting high spin transfer efficiency in NiO, and lighting a direction to ameliorate the spintronic THz emitter. The variable temperature measurements showed the amplitude had a maximum near the Néel temperature (TN) of the NiO layer with a specific thickness. The results of phase difference suggested that the coherent evanescent spin wave-mediated transmission had a contribution below the TN of the NiO layer, while the thermal magnon-mediated transmission existed at all temperatures. Our results not only achieve an enhancement in the spintronic THz source but also provide a THz spectroscopic method to investigate the dynamics of the ultrafast spintronic phenomenon. Full article
(This article belongs to the Special Issue Spin Waves in Magnonic Crystals and Hybrid Ferromagnetic Structures)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Schematic illustration of THz emission with a femtosecond laser pump incident from the substrate side along the <span class="html-italic">z</span>-direction and an external magnetic field <span class="html-italic">H</span> along the <span class="html-italic">x</span>-direction. (<b>b</b>) The XRD pattern of a Pt(6)/NiO(20) bilayer film. (<b>c</b>) Cross-sectional high-resolution transmission electron microscopy image of a Pt(6)/NiO(2)/CoFeB(3) multilayer sample. (<b>d</b>) Cross-sectional high-angle annular dark field scanning transmission electron microscopy (HAADF-STEM) image and energy-dispersive X-ray spectroscopy (EDS) mapping of Co, Ni, and Pt.</p>
Full article ">Figure 2
<p>Schematic diagram of terahertz emission spectroscopy system.</p>
Full article ">Figure 3
<p>(<b>a</b>) Emitted THz signals of the Pt(6)/NiO(<span class="html-italic">t</span><sub>NiO</sub>)/CoFeB(3) multilayer samples with different NiO thicknesses. The data are shifted horizontally for clarity. (<b>b</b>) The dependence between the peak amplitude of the THz signal and the thickness of NiO interlayer. (<b>c</b>) The frequency domain THz spectra of Pt(6)/CoFeB(3) and Pt(6)/NiO(2)/CoFeB(3).</p>
Full article ">Figure 4
<p>(<b>a</b>) The pump fluence dependence of the THz signal amplitude emitted from Pt(6)/CoFeB(3) (black squares) and Pt(6)/NiO(2)/CoFeB(3) (red circles). The solid lines represent fitting eye-guiding lines. (<b>b</b>) THz amplitude as a function of the magnetic field rotation angle <span class="html-italic">β</span>. The solid lines are curve-fit proportional to |cos<span class="html-italic">β</span>|. (<b>c</b>) THz amplitude as a function of the sample rotation angle <span class="html-italic">γ</span>. The solid lines are constant fits. (<b>d</b>) Relationship between THz amplitude and polarizer rotation angle <span class="html-italic">α</span>. The solid lines are curve-fit proportional to cos<sup>2</sup><span class="html-italic">α</span>.</p>
Full article ">Figure 5
<p>The temperature dependences of (<b>a</b>) the THz amplitude and (<b>b</b>) the transmission efficiency <span class="html-italic">j</span><sub>s</sub>(<span class="html-italic">t</span><sub>NiO</sub>)/<span class="html-italic">j</span><sub>s</sub>(0) in Pt(6)/NiO(<span class="html-italic">t</span><sub>NiO</sub>)/CoFeB(3) for <span class="html-italic">t</span><sub>NiO</sub> = 0, 1, 2, 3, and 4 nm. (<b>c</b>) The peak temperature <span class="html-italic">T</span><sub>peak</sub> (black squares) and the blocking temperature <span class="html-italic">T</span><sub>B</sub> (red circles) as a function of <span class="html-italic">t</span><sub>NiO</sub>. (<b>d</b>) Temperature dependences of exchange bias field <span class="html-italic">H</span><sub>bia</sub> in NiO(<span class="html-italic">t</span><sub>NiO</sub>)/Co(3) films. The curves are fitting lines, and the dashed line is <span class="html-italic">H</span><sub>bia</sub> = 0.</p>
Full article ">Figure 6
<p>(<b>a</b>) The phase spectra of Pt(6)/CoFeB(3) (black squares) and Pt(6)/NiO(2)/CoFeB(3) (red circles) at 80 K. The blue diamonds are the phase difference between them. The green dashed line is in the position of 90° (π/2). (<b>b</b>) The temperature dependences of the phase differences in Pt(6)/NiO(<span class="html-italic">t</span><sub>NiO</sub>)/CoFeB(3) for <span class="html-italic">t</span><sub>NiO</sub> = 1, 2, 3, and 4 nm. The plotted phase differences have average values near 1.0 THz. (<b>c</b>) Schematic diagram of the spin current transmission through antiferromagnetic insulating material NiO in Pt/NiO/CoFeB heterostructures.</p>
Full article ">
24 pages, 7528 KiB  
Article
EOS: Edge-Based Operation Skip Scheme for Real-Time Object Detection Using Viola-Jones Classifier
by Cheol-Ho Choi, Joonhwan Han, Hyun Woo Oh, Jeongwoo Cha and Jungho Shin
Electronics 2025, 14(2), 397; https://doi.org/10.3390/electronics14020397 - 20 Jan 2025
Viewed by 320
Abstract
Machine learning-based object detection systems are preferred due to their cost-effectiveness compared to deep learning approaches. Among machine learning methods, the Viola-Jones classifier stands out for its reasonable accuracy and efficient resource utilization. However, as the number of classification iterations increases or the [...] Read more.
Machine learning-based object detection systems are preferred due to their cost-effectiveness compared to deep learning approaches. Among machine learning methods, the Viola-Jones classifier stands out for its reasonable accuracy and efficient resource utilization. However, as the number of classification iterations increases or the resolution of the input image increases, the detection processing speed may decrease. To address the detection speed issue related to input image resolution, an improved edge component calibration method is applied. Additionally, an edge-based operation skip scheme is proposed to overcome the detection processing speed problem caused by the number of classification iterations. Our experiments using the FDDB public dataset show that our method reduces classification iterations by 24.6157% to 84.1288% compared to conventional methods, except for our previous study. Importantly, our method maintains detection accuracy while reducing classification iterations. This result implies that our method can realize almost real-time object detection when implemented on field-programmable gate arrays. Full article
(This article belongs to the Special Issue Artificial Intelligence in Image and Video Processing)
Show Figures

Figure 1

Figure 1
<p>Analyzing machine learning and deep learning approaches in artificial intelligence research and development: A comparative perspective (Red box: Detected result).</p>
Full article ">Figure 2
<p>Process overview: Integrating the proposed edge-based skip scheme with the Viola-Jones classifier algorithm.</p>
Full article ">Figure 3
<p>Reference coordinate selection approach for the proposed edge-based operation skip scheme: (<b>a</b>) window for edge component-calibrated image and (<b>b</b>) window for merged edge component image.</p>
Full article ">Figure 4
<p>Experimental result using the proposed and conventional methods for ‘Lena’ test frame: (<b>a</b>) Viola-Jones classifier [<a href="#B11-electronics-14-00397" class="html-bibr">11</a>,<a href="#B12-electronics-14-00397" class="html-bibr">12</a>], (<b>b</b>) Hyun [<a href="#B20-electronics-14-00397" class="html-bibr">20</a>], (<b>c</b>) Choi [<a href="#B14-electronics-14-00397" class="html-bibr">14</a>], (<b>d</b>) our previous work [<a href="#B15-electronics-14-00397" class="html-bibr">15</a>], and (<b>e</b>) the proposed method (Red box: Detected result).</p>
Full article ">Figure 5
<p>Experimental result using the proposed and conventional methods for ‘Solvay Conference 1927’ test frame: (<b>a</b>) Viola-Jones classifier [<a href="#B11-electronics-14-00397" class="html-bibr">11</a>,<a href="#B12-electronics-14-00397" class="html-bibr">12</a>], (<b>b</b>) Hyun [<a href="#B20-electronics-14-00397" class="html-bibr">20</a>], (<b>c</b>) Choi [<a href="#B14-electronics-14-00397" class="html-bibr">14</a>], (<b>d</b>) our previous work [<a href="#B15-electronics-14-00397" class="html-bibr">15</a>], and (<b>e</b>) proposed method (Red box: Detected result).</p>
Full article ">Figure 6
<p>Experimental result using the proposed and conventional methods for FDDB public dataset with various IoU threshold values: (<b>a</b>) precision, (<b>b</b>) recall, and (<b>c</b>) <math display="inline"><semantics> <msub> <mi>F</mi> <mn>1</mn> </msub> </semantics></math> score.</p>
Full article ">Figure 7
<p>Mean performance degradation of proposed and conventional methods using the FDDB public dataset at various IoU threshold values: (<b>a</b>) precision, (<b>b</b>) recall, and (<b>c</b>) <math display="inline"><semantics> <msub> <mi>F</mi> <mn>1</mn> </msub> </semantics></math> score.</p>
Full article ">Figure 8
<p>Experimental results using the proposed method with an operating frequency of 30 frames per second: (<b>a</b>) Lena, (<b>b</b>) Solvay conference 1927, and (<b>c</b>) FDDB public dataset.</p>
Full article ">Figure 9
<p>Experimental results using the proposed method with an operating frequency of 60 frames per second: (<b>a</b>) Lena, (<b>b</b>) Solvay conference 1927, and (<b>c</b>) FDDB public dataset.</p>
Full article ">
14 pages, 4800 KiB  
Article
Design and Analysis of Compact High–Performance Lithium–Niobate Electro–Optic Modulator Based on a Racetrack Resonator
by Zixin Chen, Jianping Li, Weiqin Zheng, Hongkang Liu, Quandong Huang, Ya Han and Yuwen Qin
Photonics 2025, 12(1), 85; https://doi.org/10.3390/photonics12010085 - 17 Jan 2025
Viewed by 370
Abstract
With the ever-growing demand for high-speed optical communications, microwave photonics, and quantum key distribution systems, compact electro-optic (EO) modulators with high extinction ratios, large bandwidth, and high tuning efficiency are urgently pursued. However, most integrated lithium–niobate (LN) modulators cannot achieve these high performances [...] Read more.
With the ever-growing demand for high-speed optical communications, microwave photonics, and quantum key distribution systems, compact electro-optic (EO) modulators with high extinction ratios, large bandwidth, and high tuning efficiency are urgently pursued. However, most integrated lithium–niobate (LN) modulators cannot achieve these high performances simultaneously. In this paper, we propose an improved theoretical model of a chip-scale electro-optic (EO) microring modulator (EO-MRM) based on X-cut lithium–niobate-on-insulator (LNOI) with a hybrid architecture consisting of a 180-degree Euler bend in the coupling region, double-layer metal electrode structure, and ground–signal–signal–ground (G-S-S-G) electrode configuration, which can realize highly comprehensive performance and a compact footprint. After parameter optimization, the designed EO-MRM exhibited an extinction ratio of 38 dB. Compared to the structure without Euler bends, the increase was 35 dB. It also had a modulation bandwidth of 29 GHz and a tunability of 8.24 pm/V when the straight waveguide length was 100 μm. At the same time, the proposed device footprint was 1.92 × 104 μm2. The proposed MRM model provides an efficient solution to high-speed optical communication systems and microwave photonics, which is helpful for the fabrication of high-performance and multifunctional photonic integrated devices. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) A schematic diagram of the proposed racetrack resonator with a double-layer electrode. Inset: the cross-section of coupling area. (<b>b</b>) A top view of the racetrack microring resonator. (<b>c</b>) The optical mode field and intensity distribution of the Euler bend with a waveguide width of 0.8 µm, simulated by FDTD.</p>
Full article ">Figure 2
<p>(<b>a</b>) Lumerical MODE simulation of the fundamental TE<sub>0</sub> optical mode of the waveguide. (<b>b</b>) The calculated optical effective index of the waveguide.</p>
Full article ">Figure 3
<p>(<b>a</b>) The coupling coefficient <span class="html-italic">κ</span><sup>2</sup> and (<b>b</b>) the transmission coefficient <span class="html-italic">t</span><sup>2</sup> vary with w<sub>gap</sub> in the coupling region at the wavelength of 1550 nm.</p>
Full article ">Figure 4
<p>(<b>a</b>) The coupling coefficient <span class="html-italic">κ</span><sup>2</sup> and (<b>b</b>) the transmission coefficient <span class="html-italic">t</span><sup>2</sup> vary with w<sub>1</sub> in the coupling region at the wavelength of 1550 nm.</p>
Full article ">Figure 5
<p>The BW and <span class="html-italic">Q</span> factor performances with the variation in <span class="html-italic">Lc</span> of the resonator.</p>
Full article ">Figure 6
<p>(<b>a</b>) The coupling and transmission coefficients with a variation in wavelength, when w<sub>gap</sub> = 0.7 μm and w<sub>1</sub> = 0.6 μm. (<b>b</b>) Transmission spectrum of the resonator with different bends used in the coupling region at the wavelength of 1550 nm.</p>
Full article ">Figure 7
<p>(<b>a</b>) A top view of the proposed tunable racetrack resonator with double-layer electrodes. (<b>b</b>) The simulated TE optical mode field profile at 1550 nm and the electric field between the double-layer electrodes. Here, the TFLN waveguide was formed by a 300 nm × 0.8 µm LN loading ridge. (<b>c</b>) A schematic of a unit cell of the electrode structure. (<b>d</b>) The simulation result of the influence of h and d on metal loss.</p>
Full article ">Figure 8
<p>Metal loss analysis for different electrode designs. (<b>a</b>) Metal electrodes were placed directly on the waveguide. (<b>b</b>) A 2.8 μm-wide layer of SiO<sub>2</sub> was added between the double metal electrode and the waveguide.</p>
Full article ">Figure 9
<p>(<b>a</b>) The simulated transmission spectrum of the TE mode of the passive racetrack resonator. (<b>b</b>) The detailed spectrum at 1550.118 nm. (<b>c</b>) The spectrum under different voltages of the TE mode at 1550.118 nm. (<b>d</b>) Resonant wavelength shifts as a function of the applied voltage.</p>
Full article ">
7 pages, 2734 KiB  
Communication
High-Energy Burst-Mode 3.5 μm MIR KTA-OPO
by Haowen Guo, Chunyan Jia, Shuai Ye, Yongping Yao, Tiejun Ma, Jiayu Zhang, Meng Bai, Jinbao Xia, Hongkun Nie, Bo Yao, Jingliang He and Baitao Zhang
Photonics 2025, 12(1), 72; https://doi.org/10.3390/photonics12010072 - 15 Jan 2025
Viewed by 428
Abstract
In this paper, a high energy 3.5 μm mid-infrared (MIR) burst-mode KTA optical parametric oscillator (OPO) was demonstrated. Utilizing a quasi-continuous wave (QCW) laser diode (LD) side-pump module and electro-optic (EO) Q-switching technique, a high beam quality 1064 nm burst-mode laser was achieved [...] Read more.
In this paper, a high energy 3.5 μm mid-infrared (MIR) burst-mode KTA optical parametric oscillator (OPO) was demonstrated. Utilizing a quasi-continuous wave (QCW) laser diode (LD) side-pump module and electro-optic (EO) Q-switching technique, a high beam quality 1064 nm burst-mode laser was achieved as the fundamental source, generating 30 mJ high-energy pulses at burst repetition rates of 100 Hz and 200 Hz with sub-burst repetition rates of 20 kHz, 40 kHz, and 50 kHz. The KTA-OPO produced a 3.5 μm MIR burst-mode laser output with 4 to 11 sub-pulses per pulse envelope. The output energies were 2.9 mJ, 2.81 mJ, and 2.79 mJ at 100 Hz, as well as 2.8 mJ, 2.75 mJ, and 2.72 mJ at 200 Hz, with corresponding conversion efficiencies of 9.6%, 9.3%, and 9.3% at 100 Hz, as well as 9.3%, 9.2%, and 9.1% at 200 Hz, respectively. Our results pave a new way for generating burst-mode MIR lasers. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the experimental setup for the 3.5 μm burst-mode laser system. QWP: quarter wave plate; EOM: electro-optic modulator; TFP: thin film polarizer; BR: beam reducer; ISO: isolator; HWP: half-wave plate.</p>
Full article ">Figure 2
<p>The output 1064 nm burst-mode laser energy versus the peak pump power for various burst repetition rates of (<b>a</b>) 100 Hz and (<b>b</b>) 200 Hz; the beam quality factors of the 1064 nm burst-mode laser at (<b>c</b>) 100 Hz and (<b>d</b>) 200 Hz.</p>
Full article ">Figure 3
<p>The output 1064 nm fundamental frequency laser at a pump repetition rate of 100 Hz for a sub-pulse repetition rate of 20 kHz (<b>a<sub>1</sub></b>), 40 kHz (<b>a<sub>2</sub></b>), and 50 kHz (<b>a<sub>3</sub></b>); 200 Hz for 20 kHz (<b>b<sub>1</sub></b>), 40 kHz (<b>b<sub>2</sub></b>), and 50 kHz (<b>b<sub>3</sub></b>); 3.5 μm MIR laser of 100 Hz for a sub-pulse repetition rate of 20 kHz (<b>c<sub>1</sub></b>), 40 kHz (<b>c<sub>2</sub></b>), and 50 kHz (<b>c<sub>3</sub></b>); 200 Hz for 20 kHz (<b>d<sub>1</sub></b>), 40 kHz (<b>d<sub>2</sub></b>), and 50 kHz (<b>d<sub>3</sub></b>).</p>
Full article ">Figure 4
<p>(<b>a</b>) The spectrum of the 1.5 μm signal light; the output burst energy (black lines) and efficiency (red lines) of 3.5 μm versus 1064 nm burst energy across varying sub-burst repetition rates with a burst repetition rate of (<b>b</b>) 100 Hz and (<b>c</b>) 200 Hz; energy stability of 3.5 μm MIR laser pulse for a sub-burst repetition rate of (<b>d</b>) 20 kHz, (<b>e</b>) 40 kHz and (<b>f</b>) 50 kHz.</p>
Full article ">
27 pages, 30735 KiB  
Article
A Cloud Detection System for UAV Sense and Avoid: Analysis of a Monocular Approach in Simulation and Flight Tests
by Adrian Dudek and Peter Stütz
Drones 2025, 9(1), 55; https://doi.org/10.3390/drones9010055 - 15 Jan 2025
Viewed by 418
Abstract
In order to contribute to the operation of unmanned aerial vehicles (UAVs) according to visual flight rules (VFR), this article proposes a monocular approach for cloud detection using an electro-optical sensor. Cloud avoidance is motivated by several factors, including improving visibility for collision [...] Read more.
In order to contribute to the operation of unmanned aerial vehicles (UAVs) according to visual flight rules (VFR), this article proposes a monocular approach for cloud detection using an electro-optical sensor. Cloud avoidance is motivated by several factors, including improving visibility for collision prevention and reducing the risks of icing and turbulence. The described workflow is based on parallelized detection, tracking and triangulation of features with prior segmentation of clouds in the image. As output, the system generates a cloud occupancy grid of the aircraft’s vicinity, which can be used for cloud avoidance calculations afterwards. The proposed methodology was tested in simulation and flight experiments. With the aim of developing cloud segmentation methods, datasets were created, one of which was made publicly available and features 5488 labeled, augmented cloud images from a real flight experiment. The trained segmentation models based on the YOLOv8 framework are able to separate clouds from the background even under challenging environmental conditions. For a performance analysis of the subsequent cloud position estimation stage, calculated and actual cloud positions are compared and feature evaluation metrics are applied. The investigations demonstrate the functionality of the approach, even if challenges become apparent under real flight conditions. Full article
(This article belongs to the Special Issue Flight Control and Collision Avoidance of UAVs)
Show Figures

Figure 1

Figure 1
<p>Core elements of cloud detection workflow. Processing steps are executed repeatedly in clockwise direction.</p>
Full article ">Figure 2
<p>Benefit of cloud segmentation. Different cloud scenes captured during flight experiments on 12 October 2023 and 14 May 2024 in the area of Upper Bavaria of Germany showing detected features without (<b>a</b>–<b>c</b>) and with (<b>d</b>–<b>f</b>) prior cloud segmentation. Predicted cloud masks are shown as orange contour (<b>d</b>–<b>f</b>). ORB features are marked in red and Shi–Tomasi features are drawn in green.</p>
Full article ">Figure 3
<p>Two-dimensional (<b>a</b>) and three-dimensional (<b>b</b>) occupancy grids. (<b>a</b>) shows occluded and out-of-FOV cells (orange), cloud-occupied cells (blue) and cloud-free cells (white), while (<b>b</b>) shows cells with <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mi>updated</mi> </msub> <mrow> <mo>(</mo> <mi>n</mi> <mo>,</mo> <mi>e</mi> <mo>,</mo> <mi>d</mi> <mo>)</mo> </mrow> <mo>&gt;</mo> <mn>0.5</mn> </mrow> </semantics></math> in green and the true cloud position with its dimension in red. In addition, the flight test carrier, described in <a href="#sec2dot4dot3-drones-09-00055" class="html-sec">Section 2.4.3</a>, is represented as a 3D model in order to visualize the pose (<b>b</b>).</p>
Full article ">Figure 4
<p>Zlin Savage VLA research platform with pods underneath the wings (<b>a</b>). Additionally shown is the sensor pod with the gimbal reconnaissance sensor during a flight test (<b>b</b>).</p>
Full article ">Figure 5
<p>Simulated cloud scenes (<b>a</b>–<b>c</b>) and corresponding segmentation masks below (<b>d</b>–<b>f</b>).</p>
Full article ">Figure 6
<p>Flight recordings covering different cloud scenes from experiments on 14 May 2024 (<b>a</b>), 12 October 2023 (<b>b</b>) and 17 July 2024 (<b>c</b>) with the corresponding cloud mask predictions below (<b>d</b>–<b>f</b>).</p>
Full article ">Figure 7
<p>Simulated cloud approach scenario with segmented contours (orange) and detected and tracked cloud features (red).</p>
Full article ">Figure 8
<p>Feature amount (<b>a</b>,<b>b</b>) and feature density (<b>c</b>,<b>d</b>) during simulated cloud approaches. Cloud approach speed is constant at 70 knots (<b>a</b>,<b>c</b>) and 250 knots (<b>b</b>,<b>d</b>). Blue curves show 50 m baseline configuration and red curves show 200 m baseline configuration.</p>
Full article ">Figure 9
<p>Total feature losses (blue) and contributions from separate filter stages (other colors) during cloud approaches at constant speeds of 70 knots (<b>a</b>) and 250 knots (<b>b</b>), with a baseline of 200 m between sample frames.</p>
Full article ">Figure 10
<p>Comparison between cloud-occupied grid cells inside (continous lines) and outside (dashed lines) the CGTV for 50 m baseline (blue) and for 200 m baseline (red) at constant speeds of 70 kt (<b>a</b>) and 250 kt (<b>b</b>).</p>
Full article ">Figure 11
<p>RViz display showing 3D occupancy grid cell distribution for cloud approaches at 70 kt (<b>a</b>,<b>b</b>) and 250 kt (<b>c</b>,<b>d</b>). Snapshots of cloud occupancy are visualized at 12 km (<b>a</b>,<b>c</b>) and 8 km (<b>b</b>,<b>d</b>) distance between UAVs and cloud centers with a triangulation baseline of 200 m. Cloud-occupied cells are marked in green and the cloud ground truth volumes are drawn in red.</p>
Full article ">Figure 12
<p>Total number of cloud-occupied grid cells outside of CGTV (dashed blue curves) and number of outside cells within certain CGTV vicinity ranges dependant on the color. Displayed are speed–baseline combinations of 70 kt–50 m (<b>a</b>), 250 kt–50 m (<b>b</b>), 70 kt–200 m (<b>c</b>) and 250 kt–200 m (<b>d</b>).</p>
Full article ">Figure 12 Cont.
<p>Total number of cloud-occupied grid cells outside of CGTV (dashed blue curves) and number of outside cells within certain CGTV vicinity ranges dependant on the color. Displayed are speed–baseline combinations of 70 kt–50 m (<b>a</b>), 250 kt–50 m (<b>b</b>), 70 kt–200 m (<b>c</b>) and 250 kt–200 m (<b>d</b>).</p>
Full article ">Figure 13
<p>Approached cloud formation with segmented cloud areas (orange) and detected and tracked features (red). Flight test was conducted on 14 May 2024 in the Upper Bavaria region of Germany.</p>
Full article ">Figure 14
<p>Number of detected and tracked features (<b>a</b>) and feature density (<b>b</b>) during the cloud approach.</p>
Full article ">Figure 15
<p>Total feature losses (blue) and parts of the losses of the separate filter stages (other colors) during cloud approach.</p>
Full article ">Figure 16
<p>RViz snapshots showing above view and 3rd-person view of 3D cloud occupancy grid after 7.2 s (<b>a</b>,<b>b</b>) and 21.35 s (<b>c</b>,<b>d</b>). Cloud log positions are illustrated for the front-left cloud (red) and rear-right cloud (blue) from <a href="#drones-09-00055-f013" class="html-fig">Figure 13</a>. Cells with an occupancy probability of over 50% are marked in green, with lighter shades indicating a higher cloud probability.</p>
Full article ">
11 pages, 1759 KiB  
Communication
All-Fiber Micro-Ring Resonator Based p-Si/n-ITO Heterojunction Electro-Optic Modulator
by Yihan Zhu, Ziqian Wang, Xing Chen, Honghai Zhu, Lizhuo Zhou, Yujie Zhou, Yi Liu, Yule Zhang, Xilin Tian, Shuo Sun, Jianqing Li, Ke Jiang, Han Zhang and Huide Wang
Materials 2025, 18(2), 307; https://doi.org/10.3390/ma18020307 - 11 Jan 2025
Viewed by 379
Abstract
With the rapid advancement of information technology, the data demands in transmission rates, processing speed, and storage capacity have been increasing significantly. However, silicon electro-optic modulators, characterized by their weak electro-optic effect, struggle to balance modulation efficiency and bandwidth. To overcome this limitation, [...] Read more.
With the rapid advancement of information technology, the data demands in transmission rates, processing speed, and storage capacity have been increasing significantly. However, silicon electro-optic modulators, characterized by their weak electro-optic effect, struggle to balance modulation efficiency and bandwidth. To overcome this limitation, we propose an electro-optic modulator based on an all-fiber micro-ring resonator and a p-Si/n-ITO heterojunction, achieving high modulation efficiency and large bandwidth. ITO is introduced in this design, which exhibits an ε-near-zero (ENZ) effect in the communication band. The real and imaginary parts of the refractive index of ITO undergo significant changes in response to variations in carrier concentration induced by the reverse bias voltage, thereby enabling efficient electro-optic modulation. Additionally, the design of the all-fiber micro-ring eliminates coupling losses associated with spatial optical-waveguide coupling, thereby resolving the high insertion loss of silicon waveguide modulators and the challenges of integrating MZI modulation structures. The results demonstrate that this modulator can achieve significant phase shifts at low voltages, with a modulation efficiency of up to 3.08 nm/V and a bandwidth reaching 82.04 GHz, indicating its potential for high-speed optical chip applications. Full article
(This article belongs to the Special Issue Advances in Materials Science for Engineering Applications)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Free electron concentration dependence of the real (ε<sub>real</sub>) and imaginary (ε<sub>imag</sub>) parts of the complex permittivity of ITO. (<b>b</b>) Complete simulation flow of the proposed p-Si /n-ITO junction electro-optic modulator based on all-fiber micro-ring resonator. (<b>c</b>) Voltage-dependent carrier concentration of ITO region in heterojunction devices with different thickness of Si layer.</p>
Full article ">Figure 2
<p>Schematic layout of the ring resonator-based modulator. The inset shows the cross-section of the ring.</p>
Full article ">Figure 3
<p>(<b>a</b>–<b>d</b>) The visualization data of the carrier concentration in the ITO region of the PN heterojunction at 0 V, 2 V, 3 V, and 5 V, respectively. (<b>e</b>) The relationship between the real and imaginary parts of the effective refractive index of the optical field in the micro-ring as a function of the externally applied voltage. (<b>f</b>) Schematic diagram of the energy band changes in the PN junction before and after the application of reverse bias.</p>
Full article ">Figure 4
<p>(<b>a</b>) Transmission spectrum of the microfiber knot resonator (MKR). (<b>b</b>) Transmission spectra of the microfiber knot resonator (MKR) (black solid line) and the MKR with the PN junction (red dashed line). (<b>c</b>) Transmission spectra of the all-fiber micro-ring modulator under different reverse bias voltages. (<b>d</b>) Scatter plot and fitting curve of the voltage-dependent resonance peak shift.</p>
Full article ">Figure 5
<p>(<b>a</b>) Voltage-dependent variation curve of the PN junction capacitance under a 10 GHz small-signal interference. (<b>b</b>) Voltage-dependent RC bandwidth limitation curve of the PN junction.</p>
Full article ">
10 pages, 25375 KiB  
Article
An Efficient Frequency Encoding Scheme for Optical Convolution Accelerator
by Gongyu Xia, Jiacheng Liu, Qilin Hong, Pingyu Zhu, Ping Xu and Zhihong Zhu
Photonics 2025, 12(1), 26; https://doi.org/10.3390/photonics12010026 - 31 Dec 2024
Viewed by 445
Abstract
In today’s era where the demand for computational resources by large models is increasingly high, optical computing offers an alternative physical platform for computation. With its high parallelism and the maturation of integrated photonic technologies, optical computing is expected to further support the [...] Read more.
In today’s era where the demand for computational resources by large models is increasingly high, optical computing offers an alternative physical platform for computation. With its high parallelism and the maturation of integrated photonic technologies, optical computing is expected to further support the computational resources required by large models. For one-dimensional optical convolution accelerators, existing methods can fully utilize the working bandwidth of electro-optic modulators and the frequency resources of light sources. However, most convolution computations currently require the execution of two-dimensional matrix convolutions, and existing encoding schemes suffer a drop in terms of effective computations per second when performing two-dimensional matrix convolutions. In response to this, we propose a new encoding scheme that can fully utilize the computational resources of optical convolution accelerators. For convolution operations with a kernel size of M×M, compared to existing encoding schemes, it can achieve an M-fold increase in effective computation rate. This implies that under the constraints of essentially the same hardware physical performance, adopting our newly proposed encoding scheme can achieve a significant improvement in computational performance. We construct an optical convolution acceleration system to demonstrate the principles of the new encoding. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Image signals converted to one-dimensional signal coding scheme: original scheme (top), new scheme (bottom). (<b>b</b>) Calculation process of optical convolution for existing scheme [<a href="#B13-photonics-12-00026" class="html-bibr">13</a>]. (<b>c</b>) New optical convolution scheme proposed in this work.</p>
Full article ">Figure 2
<p>(<b>a</b>) Convolutional network model framework. (<b>b</b>) Convolutional kernel decomposition process. (<b>c</b>) Image decomposition process. (<b>d</b>) Calculation results after dispersive fiber. (<b>e</b>) Experimental framework diagram.</p>
Full article ">Figure 3
<p>(<b>a</b>) System experimental diagram, Dense Wavelength Division Multiplexer (DWDM), Arbitrary Waveform Generators (AWG), electro-optic modulator (EOM), Photodetector (PD). (<b>b</b>) Time-domain electrical signals loaded onto the modulator and finally detected by the power meter. (<b>c</b>) Results of single, small-kernel calculations. (<b>d</b>) Error analysis of the system. (<b>e</b>) Features obtained by computer calculations of the eight convolution kernels (top) versus features obtained by convolution of the optical system (bottom). (<b>f</b>) Confusion table. (<b>g</b>) Experimental setup.</p>
Full article ">
12 pages, 7530 KiB  
Article
Wavefront Correction for Extended Sources Imaging Based on a 97-Element MEMS Deformable Mirror
by Huizhen Yang, Lingzhe Tang, Zhaojun Yan, Peng Chen, Wenjie Yang, Xianshuo Li and Yongqi Ge
Micromachines 2025, 16(1), 50; https://doi.org/10.3390/mi16010050 - 31 Dec 2024
Viewed by 509
Abstract
Adaptive optics (AO) systems are capable of correcting wavefront aberrations caused by transmission media or defects in optical systems. The deformable mirror (DM) plays a crucial role as a component of the adaptive optics system. In this study, our focus is on analyzing [...] Read more.
Adaptive optics (AO) systems are capable of correcting wavefront aberrations caused by transmission media or defects in optical systems. The deformable mirror (DM) plays a crucial role as a component of the adaptive optics system. In this study, our focus is on analyzing the ability of a 97-element MEMS (Micro-Electro-Mechanical System) DM to correct blurred images of extended sources affected by atmospheric turbulence. The RUN optimizer is employed as the control method to evaluate the correction capability of the DM through simulations and physical experiments. Simulation results demonstrate that within 100 iterations, both the normalized gray variance and Strehl Ratio can converge, leading to an improvement in image quality by approximately 30%. In physics experiments, we observe an increase in normalized gray variance (NGV) from 0.53 to 0.97 and the natural image quality evaluation (NIQE) from 15.35 to 19.73, representing an overall improvement in image quality of about 28%. These findings can offer theoretical and technical support for applying MEMS DMs in correcting imaging issues related to extended sources degraded by wavefront aberrations. Full article
(This article belongs to the Special Issue Integrated Photonics and Optoelectronics, 2nd Edition)
Show Figures

Figure 1

Figure 1
<p>The 97-element MEMS DM, where (<b>a</b>) is for physical DM and (<b>b</b>) is for spatial distribution of the actuators.</p>
Full article ">Figure 2
<p>Response functions of 97 actuators.</p>
Full article ">Figure 3
<p>Three-dimensional diagrams of the response functions for several actuators in typical positions, where (<b>a</b>–<b>d</b>) are for actuator 25, 49, 73, and 81, respectively.</p>
Full article ">Figure 3 Cont.
<p>Three-dimensional diagrams of the response functions for several actuators in typical positions, where (<b>a</b>–<b>d</b>) are for actuator 25, 49, 73, and 81, respectively.</p>
Full article ">Figure 4
<p>WFS-less AO system model.</p>
Full article ">Figure 5
<p>Averaged normalized gray variance and SR curves under four different turbulence levels, where (<b>a</b>) is for normalized gray variance and (<b>b</b>) is for SR.</p>
Full article ">Figure 6
<p>Imaging results before and after correction under different turbulence levels by a single phase screen when the SNR is 10, where (<b>a</b>–<b>d</b>) are for images before correction and (<b>e</b>–<b>h</b>) are images after correction.</p>
Full article ">Figure 7
<p>The image quality before and after correction.</p>
Full article ">Figure 8
<p>Comparison of Zernike coefficients 3–104 before correction and after correction, where (<b>a</b>) is for D/r<sub>0</sub> = 5, (<b>b</b>) is for D/r<sub>0</sub> = 10, (<b>c</b>) is for D/r<sub>0</sub> = 15, and (<b>d</b>) is for D/r<sub>0</sub> = 20.</p>
Full article ">Figure 8 Cont.
<p>Comparison of Zernike coefficients 3–104 before correction and after correction, where (<b>a</b>) is for D/r<sub>0</sub> = 5, (<b>b</b>) is for D/r<sub>0</sub> = 10, (<b>c</b>) is for D/r<sub>0</sub> = 15, and (<b>d</b>) is for D/r<sub>0</sub> = 20.</p>
Full article ">Figure 9
<p>Physical diagram of the experimental system.</p>
Full article ">Figure 10
<p>Schematic diagram of the experimental system.</p>
Full article ">Figure 11
<p>The convergence curve of the normalized gray variance.</p>
Full article ">Figure 12
<p>The imaging comparison before and after correction, where (<b>a</b>) is before correction and (<b>b</b>) is after correction.</p>
Full article ">
19 pages, 5615 KiB  
Article
An Approach to Reduce Tuning Sensitivity in the PIC-Based Optoelectronic Oscillator by Controlling the Phase Shift in Its Feedback Loop
by Vladislav Ivanov, Ivan Stepanov, Grigory Voronkov, Ruslan Kutluyarov and Elizaveta Grakhova
Micromachines 2025, 16(1), 32; https://doi.org/10.3390/mi16010032 - 28 Dec 2024
Viewed by 617
Abstract
Radio photonic technologies have emerged as a promising solution for addressing microwave frequency synthesis challenges in current and future communication and sensing systems. One particularly effective approach is the optoelectronic oscillator (OEO), a simple and cost-effective electro-optical system. The OEO can generate microwave [...] Read more.
Radio photonic technologies have emerged as a promising solution for addressing microwave frequency synthesis challenges in current and future communication and sensing systems. One particularly effective approach is the optoelectronic oscillator (OEO), a simple and cost-effective electro-optical system. The OEO can generate microwave signals with low phase noise and high oscillation frequencies, often outperforming traditional electrical methods. However, a notable disadvantage of the OEO compared to conventional signal generation methods is its significant frequency tuning step. This paper presents a novel approach for continuously controlling the output frequency of an optoelectronic oscillator (OEO) based on integrated photonics. This is achieved by tuning an integrated optical delay line within a feedback loop. The analytical model developed in this study calculates the OEO’s output frequency while accounting for nonlinear errors, enabling the consideration of various control schemes. Specifically, this study examines delay lines based on the Mach–Zehnder interferometer and microring resonators, which can be controlled by either the thermo-optic or electro-optic effect. To evaluate the model, we conducted numerical simulations using Ansys Lumerical software. The OEO that utilized an MRR-based electro-optical delay line demonstrated a tuning sensitivity of 174.5 MHz/V. The calculated frequency tuning sensitivity was as low as 6.98 kHz when utilizing the precision digital-to-analog converter with a minimum output voltage step of 40 μV. The proposed approach to controlling the frequency of the OEO can be implemented using discrete optical components; however, this approach restricts the minimum frequency tuning sensitivity. It provides an additional degree of freedom for frequency tuning within the OEO’s operating range, which is ultimately limited by the amplitude-frequency characteristic of the notch filter. Thus, the proposed approach opens up new opportunities for increasing the accuracy and flexibility in generating microwave signals, which can be significant for various communications and radio engineering applications. Full article
(This article belongs to the Special Issue Silicon Photonics–CMOS Integration and Device Applications)
Show Figures

Figure 1

Figure 1
<p>The circuit diagram of an integrated OEO supplemented with a delay line. Optical signals are displayed in green, while electrical signals are represented in blue.</p>
Full article ">Figure 2
<p>A potential implementation of an integrated optical delay line based on the MZI. The waveguides, where the effective refractive index varies, are indicated in red, while the control signal is depicted in blue.</p>
Full article ">Figure 3
<p>Microring resonator. Tuning elements are shown in red, and control signals are shown in blue.</p>
Full article ">Figure 4
<p>Simulation flow of time delay lines.</p>
Full article ">Figure 5
<p>Waveguides used in numerical models (dimensions in micrometers).</p>
Full article ">Figure 6
<p>Geometric parameters of a waveguide featuring a heating element (<b>a</b>) and a semiconductor diode (<b>b</b>). The shades of red indicate regions with free carriers of the p-type, while the shades of blue represent n-type regions. All dimensions are measured in µm.</p>
Full article ">Figure 7
<p>Relationship between the effective refractive index of the waveguide and the voltage applied to the heater.</p>
Full article ">Figure 8
<p>Relationship between the effective refractive index of the waveguide and the voltage applied to the anode.</p>
Full article ">Figure 9
<p>Transmission coefficient from a straight waveguide to a ring waveguide vs. the wavelength.</p>
Full article ">Figure 10
<p>Relationship between the time delay and the applied voltage for a thermo-optical MZI at sampling frequencies of 1.8 THz (<b>a</b>) and 50 THz (<b>b</b>) and for an electro-optical MZI at frequencies of 1.8 THz (<b>c</b>) and 50 THz (<b>d</b>).</p>
Full article ">Figure 11
<p>Coupling ratio of tunable couplers against the voltage applied to the tuning contact for thermo-optical (<b>a</b>) and electro-optical (<b>b</b>) MZIs.</p>
Full article ">Figure 12
<p>Introduced time delays against the voltage applied to the tuning contact for thermo-optical (<b>a</b>) and electro-optical (<b>b</b>) MZIs.</p>
Full article ">Figure 13
<p>Introduced time delays against the voltage applied to the tuning contact for thermo-optical (<b>a</b>) and electro-optical (<b>b</b>) MRRs. A wavelength of 1550.4 nm was used for the calculation.</p>
Full article ">Figure 14
<p>OEO’s output frequency against the introduced time delay (<b>a</b>) and comparison of the results obtained from analytical calculations and simulations (<b>b</b>). The green dashed line represents a section of the frequency curve within the 2π phase incursion.</p>
Full article ">Figure 15
<p>Temperature compensation scheme. The red line represents heating, and the blue one represents cooling.</p>
Full article ">
18 pages, 688 KiB  
Review
Moving Mesh Partial Differential Equation Modelling of a 5CB Nematic Liquid Crystal Confined in Symmetric and Asymmetric Pi-Cells: A Review
by Antonino Amoddeo
Symmetry 2025, 17(1), 30; https://doi.org/10.3390/sym17010030 - 27 Dec 2024
Viewed by 456
Abstract
The switching properties of nematic liquid crystals under electrical and mechanical stresses play a fundamental role in the design and fabrication of electro-optical devices. Depending on the stress applied to a nematic texture confined in a pi-cell, different nematic configurations are allowed inside [...] Read more.
The switching properties of nematic liquid crystals under electrical and mechanical stresses play a fundamental role in the design and fabrication of electro-optical devices. Depending on the stress applied to a nematic texture confined in a pi-cell, different nematic configurations are allowed inside the cell, while the induced distortion is relaxed by means of growing biaxial domains which can end with the order reconstruction phenomenon, a transition connecting two topologically different nematic textures which can occur in different regions of the pi-cell. Due to the different space and time scales involved, modelling in the frame of the Landau–de Gennes order tensor theory is mandatory to correctly describe the fast-switching mechanisms involved, while from a computational point of view, sophisticated numerical techniques are required to grasp tiny and fast features which can be predicted by the mathematical modelling. In this paper, we review the results obtained from the mathematical and numerical modelling of a 5CB liquid crystal confined in a pi-cell performed by using a numerical technique based on the equidistribution principle, tailored for the description of a complex physical system in which fast switching phenomena are coupled with strong distortions. After a recap on the underneath theory and on the numerical method, we focus on the switching properties of the nematic material when subjected to variable mechanical and electrical stresses in both symmetric and asymmetric conditions. Full article
(This article belongs to the Section Mathematics)
Show Figures

Figure 1

Figure 1
<p>Geometry of the symmetric pi-cell with nematic molecules in different states, for generic pretilt angles <span class="html-italic">θ<sub>L</sub></span> = <span class="html-italic">θ<sub>U</sub></span>: (<b>a</b>) horizontal alignment with a slight splay; (<b>b</b>) intermediate state, with a thin horizontal wall in the center (OR); (<b>c</b>) mostly vertical alignment (pi-bent).</p>
Full article ">Figure 2
<p>Geometry of the asymmetric pi-cell with nematic molecules in different states, for pretilt angles <span class="html-italic">θ<sub>L</sub></span> = 19° and <span class="html-italic">θ<sub>U</sub></span> = −3°: (<b>a</b>) horizontal alignment with a slight splay; (<b>b</b>) intermediate state, with a thin horizontal wall (OR) close to the upper boundary plate; (<b>c</b>) mostly vertical alignment (pi-bent).</p>
Full article ">Figure 3
<p>Phase diagram of the biaxial order reconstruction for <span class="html-italic">θ<sub>L</sub></span> = 19°: on the horizontal axis is reported the amplitude of the applied electric pulse <span class="html-italic">E</span>, and on the vertical axis is reported the opposite of the anchoring angles <span class="html-italic">θ<sub>U</sub></span>. Squares and circles refer to numerical experiments presented in [<a href="#B56-symmetry-17-00030" class="html-bibr">56</a>] and [<a href="#B58-symmetry-17-00030" class="html-bibr">58</a>], respectively.</p>
Full article ">
13 pages, 9988 KiB  
Communication
Tunable Beam Steering Metasurface Based on a PMN-PT Crystal with a High Electro-Optic Coefficient
by Huan Chen, Zixin Wang, Xin Chen and Junli Wang
Sensors 2025, 25(1), 55; https://doi.org/10.3390/s25010055 - 25 Dec 2024
Viewed by 459
Abstract
Existing tunable optical metasurfaces based on the electro-optic effect are either complex in structure or have a limited phase modulation range. In this paper, a simple rectangular metasurface structure based on a Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT) crystal with [...] Read more.
Existing tunable optical metasurfaces based on the electro-optic effect are either complex in structure or have a limited phase modulation range. In this paper, a simple rectangular metasurface structure based on a Pb(Mg1/3Nb2/3)O3-PbTiO3 (PMN-PT) crystal with high electro-optic coefficient of 120 pm/V was designed to demonstrate its electrically tunable performance in the optical communication band through simulations. By optimizing the structure parameters, a tunable metasurface was generated that can induce a complete 2π phase shift for beam deflection while maintaining relatively uniform transmittance. Simulations further demonstrated the electrical tunability of the beam deflection direction and operating wavelength of the metasurface. This tunable optical metasurface, with its simple and easily fabricated structure, can promote the development and application of multifunctional and controllable metasurfaces. Its adjustable beam deflection direction and operating wavelength may find applications in fields such as optical communication systems and imaging. Full article
Show Figures

Figure 1

Figure 1
<p>Simulation of the PMN-PT metasurface structure unit. (<b>a</b>) Schematic of the tunable beam-deflecting PMN-PT metasurface. The red arrows, from top to bottom, represent incident and refrected light, respectively. (<b>b</b>) Three-dimensional view of the structure unit. The dimensions include a length L = 1.5 μm, width W = 0.9 μm, and height H. The period P = L = 1.5 μm. During simulation, <span class="html-italic">x</span>-polarized light (green arrow) is incident on the metasurface from the negative <span class="html-italic">z</span>-direction (red arrow). (<b>c</b>) Transmission (black solid line and red dashed line) and reflection (blue dot-dashed line) spectra of the metasurface in optical communication band. The inset shows the distributions of the electric field <span class="html-italic">E<sub>x</sub></span> and energy flow (red arrows) of the metasurface structure at the incident of 1.5 μm <span class="html-italic">x</span>-polarized light. The color legend specifies the electric field <span class="html-italic">E<sub>x</sub></span> (unit: V/m). (<b>d</b>) Spectra of the resonance shifting with the applied voltages −100 V (red), 0 V (black), and +100 V (blue).</p>
Full article ">Figure 2
<p>Simulation of the beam-deflecting metasurface. The influences of rectangular block height H and external voltage U<sub>bias</sub> on the transmission coefficient S<sub>21</sub> (<b>a</b>) amplitude and (<b>b</b>) phase are depicted. The position H = 1.5 μm is indicated by the white dashed line. (<b>c</b>) Relationships between the transmission coefficient S<sub>21</sub> amplitude (black solid line) and phase (red dashed line) and the external voltage U<sub>bias</sub> corresponding to the white dashed lines in (<b>a</b>,<b>b</b>). The green dots indicate the eight data points where the phase difference between adjacent points is 45°. (<b>d</b>) Electric field <span class="html-italic">E<sub>x</sub></span> (specified by the bottom color legend) distribution of the transmitted light when the <span class="html-italic">x</span>-polarized light with λ = 1.5 μm is normally incident onto the metasurface. The black arrows, from top to bottom, indicate the directions of the incident and transmitted light waves, respectively.</p>
Full article ">Figure 3
<p>Regulation of the deflection direction for the beam-deflecting metasurface. (<b>a</b>–<b>e</b>) Electric field <span class="html-italic">E<sub>x</sub></span> distribution of the transmitted light for <span class="html-italic">x</span>-polarized light at a wavelength of λ = 1.5 μm, incident perpendicularly onto the metasurface, when the phase difference between adjacent structure units is 60°, 72°, 90°, 120°, or 180°. (<b>f</b>) Relationship between the deflection angle and the U<sub>bias</sub> voltages (actually the phase difference Δφ between adjacent units). The dashed line indicates the theoretical value of the deflection angle.</p>
Full article ">Figure 4
<p>Tunable PMN-PT beam-deflecting metasurface. Relationships between the transmission coefficient S<sub>21</sub> (<b>a</b>) amplitude and (<b>b</b>) phase with incident light wavelength λ and external voltage U<sub>bias</sub> are displayed. (<b>c</b>,<b>d</b>) Relationships between the S<sub>21</sub> amplitude (black solid line) and phase (red dashed line) with external voltage U<sub>bias</sub> for incident light wavelengths of λ = 1.48 μm and 1.53 μm, respectively. The green dots indicate the data points where the phase difference between adjacent points is 45°. (<b>e</b>,<b>f</b>) Electric field <span class="html-italic">E<sub>x</sub></span> distribution of the transmitted light for the metasurface at incident light wavelengths of λ = 1.48 μm and 1.53 μm, respectively.</p>
Full article ">Figure 5
<p>Relationship between the deflection angle and the wavelength of incident light. (<b>a</b>–<b>c</b>) Electric field <span class="html-italic">E<sub>x</sub></span> distribution of the transmitted light for <span class="html-italic">x</span>-polarized light at wavelengths of λ = 1.49 μm, 1.51 μm, and 1.52 μm, respectively. (<b>d</b>) Relationship between the deflection angle and the wavelength of incident light. The simulated deflection angles (the red circle dot) were measured from the transmission electric field distributions. The black square dots represent the theoretical deflection angles calculated by using the generalized Snell’s law [<a href="#B1-sensors-25-00055" class="html-bibr">1</a>].</p>
Full article ">
13 pages, 10236 KiB  
Article
Silicon Nitride Spot-Size Converter with Coupling Loss < 1.5 dB for Both Polarizations at 1W Optical Input
by Enge Zhang, Yu Zhang, Lei Zhang and Xu Yang
Photonics 2025, 12(1), 5; https://doi.org/10.3390/photonics12010005 - 24 Dec 2024
Viewed by 491
Abstract
Microwave photonics (MWP) applications often require a high optical input power (>100 mW) to achieve an optimal signal-to-noise ratio (SNR). However, conventional silicon spot-size converters (SSCs) are susceptible to high optical power due to the two-photon absorption (TPA) effect. To overcome this, we [...] Read more.
Microwave photonics (MWP) applications often require a high optical input power (>100 mW) to achieve an optimal signal-to-noise ratio (SNR). However, conventional silicon spot-size converters (SSCs) are susceptible to high optical power due to the two-photon absorption (TPA) effect. To overcome this, we introduce a silicon nitride (SiN) SSC fabricated on a silicon-on-insulator (SOI) substrate. When coupled to a tapered fiber with a 4.5 μm mode field diameter (MFD), the device exhibits low coupling losses of <0.9 dB for TE modes and <1.4 dB for TM modes at relatively low optical input power. Even at a 1W input power, the additional loss is minimal, at approximately 0.1 dB. The versatility of the SSC is further demonstrated by its ability to efficiently couple to fibers with MFDs of 2.5 μm and 6.5 μm, maintaining coupling losses below 1.5 dB for both polarizations over the entire C-band. This adaptability to different mode diameters makes the SiN SSC a promising candidate for future electro-optic chiplets that integrate heterogeneous materials such as III-V for gain and lithium niobate for modulation with the SiN-on-SOI for all other functions using advanced packaging techniques. Full article
(This article belongs to the Special Issue Recent Advancement in Microwave Photonics)
Show Figures

Figure 1

Figure 1
<p>Schematic of typical electro-optic chiplet for MWP applications.</p>
Full article ">Figure 2
<p>Schematic of the SiN SSC with three parts.</p>
Full article ">Figure 3
<p>Mode overlapping integral results vary with the NTW width.</p>
Full article ">Figure 4
<p>Mode conversion efficiency varies with taper length (linear taper with the width varying from 250 nm to 1000 nm).</p>
Full article ">Figure 5
<p>Mode conversion efficiency varies with taper length (linear taper with the width varying from 625 nm to 1000 nm).</p>
Full article ">Figure 6
<p>Mode conversion efficiency of different taper width combinations varies with taper length.</p>
Full article ">Figure 7
<p>Length and mode conversion efficiency of taper combinations with different start/end widths. Final choice is indicated by orange rectangles and green arrows.</p>
Full article ">Figure 8
<p>Simulated electric field distributions of (<b>a</b>) TM and (<b>b</b>) TE mode. (<b>a1</b>–<b>a4</b>) Fundamental TM mode at different cross-sections along the SSC. (<b>b1</b>–<b>b4</b>) Fundamental TE mode at different cross-sections along the SSC. (<b>c</b>) TE and TM mode coupling loss in C-band of designed SSC.</p>
Full article ">Figure 9
<p>(<b>a</b>) The impact of width variation on the coupling efficiency of the coupler for the (<b>a</b>) TE mode and (<b>b</b>) TM mode.</p>
Full article ">Figure 10
<p>A microscope photo of the designed SSC.</p>
Full article ">Figure 11
<p>Simulated and measured results of TE/TM coupling loss.</p>
Full article ">Figure 12
<p>(<b>a</b>) The vertical and (<b>b</b>) horizontal alignment tolerances of the designed SSC.</p>
Full article ">Figure 13
<p>Variation of coupling loss of designed SSC over 1 W input power range.</p>
Full article ">Figure 14
<p>Measurement results for fibers with mode field diameters of 2.5 μm and 6.5 μm.</p>
Full article ">Figure A1
<p>Experimental setup.</p>
Full article ">
14 pages, 13287 KiB  
Article
Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems
by Xueting Luo, Zhenqian Gu, Chong Wang, Chao Fan and Weijia Zhang
Electronics 2024, 13(24), 5054; https://doi.org/10.3390/electronics13245054 - 23 Dec 2024
Viewed by 527
Abstract
In the face of increasingly complex application scenarios, there is an urgent need for (Radio Frequency Identification) RFID systems that are capable of accurately identifying microwave signals of different frequency bands. Based on the acumen detection characteristics of microwave signals by lithium niobate [...] Read more.
In the face of increasingly complex application scenarios, there is an urgent need for (Radio Frequency Identification) RFID systems that are capable of accurately identifying microwave signals of different frequency bands. Based on the acumen detection characteristics of microwave signals by lithium niobate electro-optic modulators, applying large-bandwidth thin-film lithium niobate electro-optic modulation to RFID systems can achieve efficient operation across multiple frequency bands. This study discusses, in detail, the design, simulation, fabrication, and testing process of the electro-optic modulator to obtain a high-performance, large-bandwidth lithium niobate electro-optic modulator. By using multilayer lithography techniques to prepare thick traveling-wave electrodes, the problem of irregular cross-sections during the fabrication of thick electrodes has been successfully reduced, improving the stability and controllability of the device. Test results show that the insertion loss of the electro-optic modulator is about 6 dB, the extinction ratio is 36.5 dB, the optical waveguide mode field is 1 μm, the full-band characteristic impedance is 50 Ω, the test bandwidth is 50 GHz, and the half-wave voltage is 1.8 V. Compared with existing optimization schemes, this design not only achieves a large bandwidth and a small half-wave voltage, but also proposes a new fabrication process scheme, optimizing the process and resulting in samples with stable performance. Full article
(This article belongs to the Special Issue RFID Applied to IoT Devices)
Show Figures

Figure 1

Figure 1
<p>Cross-sectional view of the thin-film lithium niobate electro-optic modulator.</p>
Full article ">Figure 2
<p>Analysis diagrams of the electric field patterns generated by electrodes with different thicknesses: (<b>a</b>) the electric field pattern for an electrode thickness of 1 μm, (<b>b</b>) 3 μm, (<b>c</b>) 5 μm, and (<b>d</b>) 10 μm.</p>
Full article ">Figure 3
<p>(<b>a</b>) The influence of different electrode structure parameters on the effective refractive index; (<b>b</b>) the impact of different electrode structure parameters on the characteristic impedance.</p>
Full article ">Figure 4
<p>Lithium niobate electro-optic modulator fabrication process diagram.</p>
Full article ">Figure 5
<p>Traveling-wave electrode mask pattern.</p>
Full article ">Figure 6
<p>Under the microscope, the development effect of MZ optical waveguides.</p>
Full article ">Figure 7
<p>(<b>a</b>) A top view of the electrode surface under the metallographic microscope; (<b>b</b>) a top view of the electrode surface under the scanning electron microscope.</p>
Full article ">Figure 8
<p>(<b>a</b>) The left electrical signal introduction area; (<b>b</b>) the proper electrical signal introduction area.</p>
Full article ">Figure 9
<p>Photos of the prepared samples, with the left side showing the sample to be tested taken out from the self-adhesive box, and the right side showing the sample stored inside the self-adhesive box.</p>
Full article ">Figure 10
<p>Primary sources of insertion loss.</p>
Full article ">Figure 11
<p>Schematic diagram of the insertion loss testing system.</p>
Full article ">Figure 12
<p>Schematic diagram of near-field scanning technology for testing mode field.</p>
Full article ">Figure 13
<p>S-parameters test system schematic diagram.</p>
Full article ">Figure 14
<p>Test results of S-parameters for G-1, G-2, and G-3.</p>
Full article ">Figure 15
<p>Diagram of the half-wave voltage system tested by the frequency-doubling modulation method.</p>
Full article ">
21 pages, 2882 KiB  
Article
Research on the Modulation Characteristics of LiNbO3 Crystals Based on the Three-Dimensional Ray Tracing Method
by Houpeng Sun, Yingchun Li, Laixian Zhang, Huichao Guo, Chenglong Luan, Haijing Zheng, Rong Li and Youchen Fan
Crystals 2024, 14(12), 1101; https://doi.org/10.3390/cryst14121101 - 20 Dec 2024
Viewed by 526
Abstract
To further study the electro-optical modulation characteristics of LiNbO3 crystals and analyze their modulation performance, a method for studying the modulation characteristics of LiNbO3 crystals, based on the three-dimensional ray tracing method, is introduced. With the help of the refractive index [...] Read more.
To further study the electro-optical modulation characteristics of LiNbO3 crystals and analyze their modulation performance, a method for studying the modulation characteristics of LiNbO3 crystals, based on the three-dimensional ray tracing method, is introduced. With the help of the refractive index ellipsoidal theory, the optical properties of LiNbO3 crystals under the influence of the Pockels effect are systematically investigated. The research results show that the optical properties of LiNbO3 crystals under the action of an external electric field can be divided into two cases: the crystal optical axis is parallel to the clear light direction, and the crystal optical axis is perpendicular to the clear light direction. Subsequently, starting from Maxwell’s equation and the matter equation, the analytical expressions of optical parameters such as refractive index, wave vector, light vector, optical path, and phase delay in electro-optical crystals are derived. Finally, the propagation law of LiNbO3 crystals when the light is incident in any direction, i.e., when the optical axis of the crystal is parallel to the clear direction and perpendicular to the clear direction, and the light intensity and field of view of the LiNbO3 crystal for electro-optical modulation are discussed. Full article
(This article belongs to the Section Inorganic Crystalline Materials)
Show Figures

Figure 1

Figure 1
<p>The refractive index ellipsoid of a crystal.</p>
Full article ">Figure 2
<p>Cartesian coordinate system of LiNbO<sub>3</sub> crystals when the optical axis of the crystal is parallel to the direction of clear light.</p>
Full article ">Figure 3
<p>Cartesian coordinate system of LiNbO<sub>3</sub> crystals when the optical axis of the crystal is parallel to the direction of clear light.</p>
Full article ">Figure 4
<p>Birefringence at the interface between an isotropic medium and a LiNbO<sub>3</sub> crystal.</p>
Full article ">Figure 5
<p>Propagation of abnormal light in LiNiO<sub>3</sub> crystals.</p>
Full article ">Figure 6
<p>Refractive index ellipsoid.</p>
Full article ">Figure 7
<p>Crystal conoscopic interferogram when V = 0: (<b>a</b>) interference light intensity distribution; (<b>b</b>) influence of polarization direction on light intensity <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>sin</mi> </mrow> <mn>2</mn> </msup> <mo stretchy="false">[</mo> <mn>2</mn> <mi>ϕ</mi> <mo stretchy="false">(</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> <mo stretchy="false">)</mo> <mo stretchy="false">]</mo> </mrow> </semantics></math>; (<b>c</b>) influence of phase difference on light intensity <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>sin</mi> </mrow> <mn>2</mn> </msup> <mo stretchy="false">[</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi>θ</mi> <mo stretchy="false">(</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> <mo stretchy="false">)</mo> </mrow> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">]</mo> </mrow> </semantics></math>; (<b>d</b>–<b>f</b>) is a magnification of the field of view at the center of (<b>a</b>–<b>c</b>) of the figure.</p>
Full article ">Figure 8
<p>Crystal conoscopic interferogram when V = V<sub>π</sub>: (<b>a</b>) interference light intensity distribution; (<b>b</b>) influence of polarization direction on light intensity <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>sin</mi> </mrow> <mn>2</mn> </msup> <mo stretchy="false">[</mo> <mn>2</mn> <mi>ϕ</mi> <mo stretchy="false">(</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> <mo stretchy="false">)</mo> <mo stretchy="false">]</mo> </mrow> </semantics></math>; (<b>c</b>) influence of phase difference on light intensity <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>sin</mi> </mrow> <mn>2</mn> </msup> <mo stretchy="false">[</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi>θ</mi> <mo stretchy="false">(</mo> <mi>α</mi> <mo>,</mo> <mi>β</mi> <mo stretchy="false">)</mo> </mrow> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">]</mo> </mrow> </semantics></math>; (<b>d</b>–<b>f</b>) is a magnification of the field of view at the center of (<b>a</b>–<b>c</b>) of the figure.</p>
Full article ">
Back to TopTop