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Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model

Journal Article · · Machine Learning: Science and Technology

Not Available

Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0003525
OSTI ID:
1638756
Alternate ID(s):
OSTI ID: 1638757
OSTI ID: 1639044
Journal Information:
Machine Learning: Science and Technology, Journal Name: Machine Learning: Science and Technology Journal Issue: 3 Vol. 1; ISSN 2632-2153
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (56)

Monocrystal-Polycrystal Elastic Constants of a Stainless Steel journal September 1984
Crystal structure representations for machine learning models of formation energies journal April 2015
Approximation by superpositions of a sigmoidal function journal December 1989
The elements of statistical learning: data mining, inference and prediction journal March 2005
Spectral database constitutive representation within a spectral micromechanical solver for computationally efficient polycrystal plasticity modelling journal May 2017
Fast fourier transform-based modeling for the determination of micromechanical fields in polycrystals journal March 2011
Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering journal August 2018
Machine Learning–Based Reduce Order Crystal Plasticity Modeling for ICME Applications journal December 2018
Generalisation de la theorie de plasticite de W. T. Koiter journal July 1965
Elastic properties of reinforced solids: Some theoretical principles journal September 1963
A micromechanics-based nonlocal constitutive equation and estimates of representative volume element size for elastic composites journal April 1996
Approximation capabilities of multilayer feedforward networks journal January 1991
Computational crystal plasticity journal January 2000
Orientation image-based micromechanical modelling of subgrain texture evolution in polycrystalline copper journal September 2008
Crystal plasticity simulations using discrete Fourier transforms journal April 2009
Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications journal February 2010
Stochastic microstructure characterization and reconstruction via supervised learning journal January 2016
Extraction of reduced-order process-structure linkages from phase-field simulations journal February 2017
Prediction of microscale plastic strain rate fields in two-phase composites subjected to an arbitrary macroscale strain rate using the materials knowledge system framework journal December 2017
Material structure-property linkages using three-dimensional convolutional neural networks journal March 2018
Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches journal March 2019
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality journal June 2017
Wavelet-enriched adaptive crystal plasticity finite element model for polycrystalline microstructures journal December 2017
Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials journal March 2018
Image driven machine learning methods for microstructure recognition journal October 2016
Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model journal July 2018
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets journal August 2018
Predicting the mechanical response of oligocrystals with deep learning journal November 2019
Computationally efficient database and spectral interpolation for fully plastic Taylor-type crystal plasticity calculations of face-centered cubic polycrystals journal July 2008
Grain-scale experimental validation of crystal plasticity finite element simulations of tantalum oligocrystals journal September 2014
Computationally efficient predictions of crystal plasticity based forming limit diagrams using a spectral database journal April 2018
Applied machine learning to predict stress hotspots I: Face centered cubic materials journal December 2018
Machine learning strategies for systems with invariance properties journal August 2016
Materials discovery and design using machine learning journal September 2017
High-throughput stochastic tensile performance of additively manufactured stainless steel journal March 2017
Void growth versus void collapse in a creeping single crystal journal May 2013
Inverse Design of Solid-State Materials via a Continuous Representation journal November 2019
A new implementation of the spectral crystal plasticity framework in implicit finite elements journal May 2015
A pseudorandom based crystal plasticity finite element method for grain scale polycrystalline material modeling journal May 2020
Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques journal June 2018
Material spatial randomness: From statistical to representative volume element journal April 2006
CXXVIII. A theoretical derivation of the plastic properties of a polycrystalline face-centred metal journal November 1951
XLVI. A theory of the plastic distortion of a polycrystalline aggregate under combined stresses. journal April 1951
Localization models for the plastic response of polycrystalline materials using the material knowledge systems framework journal August 2019
The Mechanism of Plastic Deformation of Crystals. Part I. Theoretical journal July 1934
Inferring low-dimensional microstructure representations using convolutional neural networks journal November 2017
Characterization and reconstruction of 3D stochastic microstructures via supervised learning: CHARACTERIZATION AND RECONSTRUCTION OF 3D STOCHASTIC MICROSTRUCTURES journal July 2016
Laws for Work-Hardening and Low-Temperature Creep journal January 1976
A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures journal May 2015
Microstructural Materials Design Via Deep Adversarial Learning Methodology journal October 2018
Sample Dimensions Influence Strength and Crystal Plasticity journal August 2004
Long Short-Term Memory journal November 1997
Novel microstructure quantification framework for databasing, visualization, and analysis of microstructure data journal July 2013
Albany: Using Component-Based Design to Develop a Flexible, Generic Multiphysics Analysis code journal January 2016
Principles of neurodynamics. Perceptrons and the theory of brain mechanisms report March 1961
Machine Learning Models of Plastic Flow Based on Representation Theory journal December 2018

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