[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Scully et al., 2019 - Google Patents

Future frontiers in corrosion science and engineering, part III: the next “Leap Ahead” in corrosion control may be enabled by data analytics and artificial intelligence

Scully et al., 2019

View PDF
Document ID
2142637449675310920
Author
Scully J
Balachandran P
Publication year
Publication venue
Corrosion

External Links

Snippet

CORROSION highlighted some of the grand challenges and opportunities facing corrosion science and engineering in the 21st century and future frontiers. 1-2 The challenges associated with the multi-scale, multi-physics, as well as multistage nature of corrosion were …
Continue reading at meridian.allenpress.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services; Handling legal documents
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for programme control, e.g. control unit
    • G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled

Similar Documents

Publication Publication Date Title
Ren et al. Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
Birbilis et al. A perspective on corrosion of multi-principal element alloys
Scully et al. Future frontiers in corrosion science and engineering, part III: the next “Leap Ahead” in corrosion control may be enabled by data analytics and artificial intelligence
Nyshadham et al. Machine-learned multi-system surrogate models for materials prediction
Gopakumar et al. Multi-objective optimization for materials discovery via adaptive design
Meredig Five high-impact research areas in machine learning for materials science
Khakurel et al. Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys
Hart et al. Evolutionary approach for determining first-principles hamiltonians
Giles et al. Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength
Zhang et al. Composition design of high-entropy alloys with deep sets learning
Khatamsaz et al. Bayesian optimization with active learning of design constraints using an entropy-based approach
Singh et al. Phase prediction and experimental realisation of a new high entropy alloy using machine learning
Shin et al. Petascale supercomputing to accelerate the design of high-temperature alloys
Vazquez et al. A deep neural network regressor for phase constitution estimation in the high entropy alloy system Al-Co-Cr-Fe-Mn-Nb-Ni
Wang et al. AlphaMat: a material informatics hub connecting data, features, models and applications
Jin et al. Accelerated crystal structure prediction of multi-elements random alloy using expandable features
Shakir et al. Machine learning based probabilistic model for free vibration analysis of functionally graded graphene nanoplatelets reinforced porous plates
Zeng et al. Machine learning accelerated discovery of corrosion-resistant high-entropy alloys
Jiang et al. Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis
Zhu et al. WyCryst: Wyckoff inorganic crystal generator framework
Adachi et al. Universal constraint on nonlinear population dynamics
Bobbili et al. Development of machine learning based models for design of high entropy alloys
Li et al. Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
Hayashi et al. Prediction model of elastic constants of BCC high-entropy alloys based on first-principles calculations and machine learning techniques
Xu et al. Design of Ni-based turbine disc superalloys with improved yield strength using machine learning