Learning constitutive relations using symmetric positive definite neural networks

Structural-Genome-Driven computing for composite structures

(2019) Jie Yang et al.   COMPOSITE STRUCTURES

Effect of Depth and Width on Local Minima in Deep Learning

(2019) Kenji Kawaguchi et al.   NEURAL COMPUTATION

Exploring the 3D architectures of deep material network in data-driven multiscale mechanics

(2019) Zeliang Liu et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

(2019) F. Ghavamian et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Deep learning predicts path-dependent plasticity

(2019) M. Mozaffar et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning

(2018) Kun Wang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A deep material network for multiscale topology learning and accelerated nonlinear modeling of heterogeneous materials

(2018) Zeliang Liu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A multilevel projection-based model order reduction framework for nonlinear dynamic multiscale problems in structural and solid mechanics

(2017) Matthew J. Zahr et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials

(2016) Zeliang Liu et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Machine learning strategies for systems with invariance properties

(2016) Julia Ling et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Computational homogenization of nonlinear elastic materials using neural networks

(2015) B. A. Le et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Sensitivity analysis of crack propagation in pavement bituminous layered structures using a hybrid system integrating Artificial Neural Networks and Finite Element Method

(2013) Jakub Gajewski et al.   COMPUTATIONAL MATERIALS SCIENCE

Quantitative X-ray tomography

(2013) E. Maire et al.   INTERNATIONAL MATERIALS REVIEWS

Multiscale Methods for Composites: A Review

(2009) P. Kanouté et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Neural network based constitutive model for elastomeric foams

(2008) G. Liang et al.   ENGINEERING STRUCTURES

Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements

(2008) Stéphane Avril et al.   EXPERIMENTAL MECHANICS