Volume 72, Issue 1

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July 2023

Special Issue: Machine Learning Theories, Modeling, and Applications to Computational Materials Science, Additive Manufacturing, Mechanics of Materials, Design and Optimization, Volume I : Multiscale Mechanics of Materials / Guest Edited by Miguel Bessa, Shaofan Li, Chinesta Francisco

12 articles in this issue

Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization
Wing Kam Liu
Miguel A. Bessa
Nathaniel Trask
Editorial 26 April 2023 Pages: 1 - 2
Adaptive spatiotemporal dimension reduction in concurrent multiscale damage analysis
Shiguang Deng
Diran Apelian
Ramin Bostanabad
Original Paper 28 March 2023 Pages: 3 - 35
Reducing internal variables and improving efficiency in data-driven modelling of anisotropic damage from RVE simulations
Julien Yvonnet
Qi-Chang He
Pengfei Li
Original Paper 29 April 2023 Pages: 37 - 55
Deep learning and multi-level featurization of graph representations of microstructural data
Reese Jones
Cosmin Safta
Ari Frankel
Original Paper 31 March 2023 Pages: 57 - 75
A machine-learning aided multiscale homogenization model for crystal plasticity: application for face-centered cubic single crystals
Dana Bishara
Shaofan Li
Original Paper 13 February 2023 Pages: 77 - 93
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter
Ruben Villarreal
Nikolaos N. Vlassis
WaiChing Sun
Original Paper 12 May 2023 Pages: 95 - 124
Physics-informed machine-learning model of temperature evolution under solid phase processes
Ethan King
Yulan Li
Eric Machorro
Original Paper Open access 17 April 2023 Pages: 125 - 136
A Bayesian regularization network approach to thermal distortion control in 3D printing
Yuxi Xie
Boyuan Li
Shaofan Li
Original Paper 31 January 2023 Pages: 137 - 154
Efficient multiscale modeling of heterogeneous materials using deep neural networks
Fadi Aldakheel
Elsayed S. Elsayed
Peter Wriggers
Original Paper Open access 27 April 2023 Pages: 155 - 171
HiDeNN-FEM: a seamless machine learning approach to nonlinear finite element analysis
Yingjian Liu
Chanwook Park
Dong Qian
Original Paper 11 April 2023 Pages: 173 - 194
An introduction to kernel and operator learning methods for homogenization by self-consistent clustering analysis
Owen Huang
Sourav Saha
Wing Kam Liu
Original Paper 17 April 2023 Pages: 195 - 219
Embedding physical knowledge in deep neural networks for predicting the phonon dispersion curves of cellular metamaterials
Zihan Wang
Weikang Xian
Hongyi Xu
Original Paper 19 April 2023 Pages: 221 - 239

Volume 72, Issue 1

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