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。A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials
Dana Bishara et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2023)
Deep Learning Discrete Calculus (DLDC): a family of discrete numerical methods by universal approximation for STEM education to frontier research
Sourav Saha et al.
COMPUTATIONAL MECHANICS (2023)
Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks
Brendan P. Croom et al.
MECHANICS OF MATERIALS (2022)
Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena
Bernardo P. Ferreira et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2022)
Concurrent n-scale modeling for non-orthogonal woven composite
Jiaying Gao et al.
COMPUTATIONAL MECHANICS (2022)
Three ways to solve partial differential equations with neural networks — A review
Jan Blechschmidt et al.
GAMM Mitteilungen (2021)
Machine learning based surrogate modeling approach for mapping crystal deformation in three dimensions
Anup Pandey et al.
SCRIPTA MATERIALIA (2021)
Recurrent localization networks applied to the Lippmann-Schwinger equation
Conlain Kelly et al.
COMPUTATIONAL MATERIALS SCIENCE (2021)
Image-based multiscale modeling with spatially varying microstructures from experiments: Demonstration with additively manufactured metal in fatigue and fracture
Orion L. Kafka et al.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS (2021)
Deep learning model to predict complex stress and strain fields in hierarchical composites
Zhenze Yang et al.
SCIENCE ADVANCES (2021)
Teaching solid mechanics to artificial intelligence-a fast solver for heterogeneous materials
Jaber Rezaei Mianroodi et al.
NPJ COMPUTATIONAL MATERIALS (2021)
Macroscale Property Prediction for Additively Manufactured IN625 from Microstructure Through Advanced Homogenization
Sourav Saha et al.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION (2021)
Microscale Structure to Property Prediction for Additively Manufactured IN625 through Advanced Material Model Parameter Identification
Sourav Saha et al.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION (2021)
A hierarchical multiscale model for the elastic-plastic damage behavior of 3D braided composites at high temperature
Chunwang He et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2020)
Modeling stress-strain curves with neural networks: a scalable alternative to the return mapping algorithm
Maxime Lavech du Bos et al.
COMPUTATIONAL MATERIALS SCIENCE (2020)
Efficient multiscale modeling for woven composites based on self-consistent clustering analysis
Xinxing Han et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Adaptive hyper reduction for additive manufacturing thermal fluid analysis
Ye Lu et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chi Chen et al.
CHEMISTRY OF MATERIALS (2019)
Clustering discretization methods for generation of material performance databases in machine learning and design optimization
Hengyang Li et al.
COMPUTATIONAL MECHANICS (2019)
Prediction of aerodynamic flow fields using convolutional neural networks
Saakaar Bhatnagar et al.
COMPUTATIONAL MECHANICS (2019)
Self-consistent clustering analysis for multiscale modeling at finite strains
Cheng Yu et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Yinhao Zhu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2018)
Solving high-dimensional partial differential equations using deep learning
Jiequn Han et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Two-scale FE-FFT- and phase-field-based computational modeling of bulk microstructural evolution and macroscopic material behavior
Julian Kochmann et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2016)
Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials
Zeliang Liu et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2016)
A Multiscale Model for the Quasi-Static Thermo-Plastic Behavior of Highly Cross-Linked Glassy Polymers
N. Vu-Bac et al.
MACROMOLECULES (2015)
Kernel methods for large-scale genomic data analysis
Xuefeng Wang et al.
BRIEFINGS IN BIOINFORMATICS (2015)
Proper general decomposition (PGD) for the resolution of Navier-Stokes equations
A. Dumon et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2011)
The LATIN multiscale computational method and the Proper Generalized Decomposition
P. Ladeveze et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2010)
Reduced order modelling method via proper orthogonal decomposition (POD) for flow around an oscillating cylinder
E. Liberge et al.
JOURNAL OF FLUIDS AND STRUCTURES (2010)
A multiresolution continuum simulation of the ductile fracture process
Rong Tian et al.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS (2010)
Multiresolution modeling of ductile reinforced brittle composites
Cahal McVeigh et al.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS (2009)
Linking microstructure and properties through a predictive multiresolution continuum
Cahal McVeigh et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2008)
The reduced model multiscale method (R3M) for the non-linear homogenization of hyperelastic media at finite strains
J. Yvonnet et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2007)
Multiresolution analysis for material design
Cahal McVeigh et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2006)
Nonuniform transformation field analysis
JC Michel et al.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2003)
FE2 multiscale approach for modelling the elastoviscoplastic behaviour of long fibre SiC/Ti composite materials
F Feyel et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2000)