标题
Feature engineering of material structure for AI-based materials knowledge systems
作者
关键词
-
出版物
JOURNAL OF APPLIED PHYSICS
Volume 128, Issue 4, Pages 041103
出版商
AIP Publishing
发表日期
2020-07-29
DOI
10.1063/5.0011258
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Bayesian estimation of single ply anisotropic elastic constants from spherical indentations on multi-laminate polymer-matrix fiber-reinforced composite samples
- (2020) Andrew R. Castillo et al. MECCANICA
- A digital workflow for learning the reduced-order structure-property linkages for permeability of porous membranes
- (2020) Yuksel C. Yabansu et al. ACTA MATERIALIA
- A Bayesian framework for materials knowledge systems
- (2019) Surya R. Kalidindi MRS Communications
- Convolutional Neural Networks for Crystal Material Property Prediction Using Hybrid Orbital-Field Matrix and Magpie Descriptors
- (2019) Zhuo Cao et al. Crystals
- Application of Gaussian Process regression models for capturing the evolution of microstructure statistics in aging of Nickel-based superalloys
- (2019) Yuksel C. Yabansu et al. ACTA MATERIALIA
- Transfer learning of deep material network for seamless structure–property predictions
- (2019) Zeliang Liu et al. COMPUTATIONAL MECHANICS
- Bayesian Sequential Design of Experiments for Extraction of Single-Crystal Material Properties from Spherical Indentation Measurements on Polycrystalline Samples
- (2019) Andrew R. Castillo et al. JOM
- A Bayesian Framework for the Estimation of the Single Crystal Elastic Parameters From Spherical Indentation Stress-Strain Measurements
- (2019) Andrew Castillo et al. Frontiers in Materials
- Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics
- (2019) Yuksel C Yabansu et al. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- Material structure-property linkages using three-dimensional convolutional neural networks
- (2018) Ahmet Cecen et al. ACTA MATERIALIA
- Application of spherical indentation and the materials knowledge system framework to establishing microstructure-yield strength linkages from carbon steel scoops excised from high-temperature exposed components
- (2018) Almambet Iskakov et al. ACTA MATERIALIA
- Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
- (2018) Zijiang Yang et al. COMPUTATIONAL MATERIALS SCIENCE
- Materials informatics
- (2018) Seeram Ramakrishna et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
- (2018) Eric Schulz et al. JOURNAL OF MATHEMATICAL PSYCHOLOGY
- Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques
- (2018) Ramin Bostanabad et al. PROGRESS IN MATERIALS SCIENCE
- Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures
- (2018) Noah H. Paulson et al. MATERIALS & DESIGN
- Estimating mechanical properties from spherical indentation using Bayesian approaches
- (2018) Patxi Fernandez-Zelaia et al. MATERIALS & DESIGN
- Reduced-order microstructure-sensitive protocols to rank-order the transition fatigue resistance of polycrystalline microstructures
- (2018) Noah H. Paulson et al. INTERNATIONAL JOURNAL OF FATIGUE
- Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions
- (2018) Hongqiao Wang et al. NEURAL COMPUTATION
- An efficient machine learning approach to establish structure-property linkages
- (2018) Jaimyun Jung et al. COMPUTATIONAL MATERIALS SCIENCE
- Bayesian approach in predicting mechanical properties of materials: Application to dual phase steels
- (2018) Jaimyun Jung et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Materials knowledge system for nonlinear composites
- (2018) Marat I. Latypov et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Strategies for rapid parametric assessment of microstructure-sensitive fatigue for HCP polycrystals
- (2017) Matthew W. Priddy et al. INTERNATIONAL JOURNAL OF FATIGUE
- Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials
- (2017) Marat I. Latypov et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Machine-learned and codified synthesis parameters of oxide materials
- (2017) Edward Kim et al. Scientific Data
- Machine learning in materials informatics: recent applications and prospects
- (2017) Rampi Ramprasad et al. npj Computational Materials
- Statistical construction of 3-D microstructures from 2-D exemplars collected on oblique sections
- (2016) David M. Turner et al. ACTA MATERIALIA
- Image driven machine learning methods for microstructure recognition
- (2016) Aritra Chowdhury et al. COMPUTATIONAL MATERIALS SCIENCE
- The Materials Data Facility: Data Services to Advance Materials Science Research
- (2016) B. Blaiszik et al. JOM
- Vision for Data and Informatics in the Future Materials Innovation Ecosystem
- (2016) Surya R. Kalidindi et al. JOM
- Polycrystal plasticity modeling of nickel-based superalloy IN 617 subjected to cyclic loading at high temperature
- (2016) Xiang Zhang et al. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
- The materials innovation ecosystem: A key enabler for the Materials Genome Initiative
- (2016) David L. McDowell et al. MRS BULLETIN
- Machine-learning-assisted materials discovery using failed experiments
- (2016) Paul Raccuglia et al. NATURE
- Machine learning bandgaps of double perovskites
- (2016) G. Pilania et al. Scientific Reports
- Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals
- (2015) Yuksel C. Yabansu et al. ACTA MATERIALIA
- Materials Data Science: Current Status and Future Outlook
- (2015) Surya R. Kalidindi et al. Annual Review of Materials Research
- X-TMCMC: Adaptive kriging for Bayesian inverse modeling
- (2015) Panagiotis Angelikopoulos et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Local Gaussian Process Approximation for Large Computer Experiments
- (2015) Robert B. Gramacy et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Effect of martensite volume fraction on low cycle fatigue behaviour of dual phase steels: Experimental and microstructural investigation
- (2015) Surajit Kumar Paul et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Application of data science tools to quantify and distinguish between structures and models in molecular dynamics datasets
- (2015) Surya R Kalidindi et al. NANOTECHNOLOGY
- High-throughput experimental tools for the materials genome initiative
- (2014) Ji-Cheng Zhao CHINESE SCIENCE BULLETIN
- Data science and cyberinfrastructure: critical enablers for accelerated development of hierarchical materials
- (2014) Surya R. Kalidindi INTERNATIONAL MATERIALS REVIEWS
- Combinatorial screening for new materials in unconstrained composition space with machine learning
- (2014) B. Meredig et al. PHYSICAL REVIEW B
- Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers
- (2013) Curt M. Breneman et al. ADVANCED FUNCTIONAL MATERIALS
- A data-driven approach to establishing microstructure–property relationships in porous transport layers of polymer electrolyte fuel cells
- (2013) A. Çeçen et al. JOURNAL OF POWER SOURCES
- Four-Dimensional Morphological Evolution of an Aluminum Silicon Alloy Using Propagation-Based Phase Contrast X-ray Tomographic Microscopy
- (2013) Emine Begum Gulsoy et al. MATERIALS TRANSACTIONS
- Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images
- (2013) Juan Nunez-Iglesias et al. PLoS One
- Materials genomics: From CALPHAD to flight
- (2013) G.B. Olson et al. SCRIPTA MATERIALIA
- X-Ray Tomography of Porous, Transition Metal Oxide Based Lithium Ion Battery Electrodes
- (2013) Martin Ebner et al. Advanced Energy Materials
- Accelerating materials property predictions using machine learning
- (2013) Ghanshyam Pilania et al. Scientific Reports
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
- (2013) Anubhav Jain et al. APL Materials
- Simulation-based optimal Bayesian experimental design for nonlinear systems
- (2012) Xun Huan et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Effects of volume fraction on the microstructure and tensile properties of in situ TiBw/Ti6Al4V composites with novel network microstructure
- (2012) L.J. Huang et al. MATERIALS & DESIGN
- Influence of martensite volume fraction and cooling rate on the properties of thermomechanically processed dual phase steel
- (2012) Mehdi Asadi et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Understanding and visualizing microstructure and microstructure variance as a stochastic process
- (2011) Stephen R. Niezgoda et al. ACTA MATERIALIA
- Automated serial sectioning methods for rapid collection of 3-D microstructure data
- (2011) Michael D. Uchic et al. JOM
- High-energy diffraction microscopy at the advanced photon source
- (2011) U. Lienert et al. JOM
- Optimized structure based representative volume element sets reflecting the ensemble-averaged 2-point statistics
- (2010) Stephen R. Niezgoda et al. ACTA MATERIALIA
- Atom probe tomography
- (2009) M.K. Miller et al. MATERIALS CHARACTERIZATION
- Microstructure sensitive design for performance optimization
- (2009) David T. Fullwood et al. PROGRESS IN MATERIALS SCIENCE
- Neural Networks and Information in Materials Science
- (2009) H. K. D. H. Bhadeshia Statistical Analysis and Data Mining
- A new spectral framework for establishing localization relationships for elastic behavior of composites and their calibration to finite-element models
- (2008) Massimiliano Binci et al. ACTA MATERIALIA
- Delineation of the space of 2-point correlations in a composite material system
- (2008) S.R. Niezgoda et al. ACTA MATERIALIA
- Concurrent design of hierarchical materials and structures
- (2008) D. L. McDowell et al.
- Microstructure reconstructions from 2-point statistics using phase-recovery algorithms
- (2007) David T. Fullwood et al. ACTA MATERIALIA
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started