A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features

Dropout vs. batch normalization: an empirical study of their impact to deep learning

(2020) Christian Garbin et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Temporal Convolutional Networks for the Advance Prediction of ENSO

(2020) Jining Yan et al.   Scientific Reports

MAP123-EP: A mechanistic-based data-driven approach for numerical elastoplastic analysis

(2020) Shan Tang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

(2020) Sourav Saha et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

MAP123-EPF: A mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain

(2020) Shan Tang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Clustering discretization methods for generation of material performance databases in machine learning and design optimization

(2019) Hengyang Li et al.   COMPUTATIONAL MECHANICS

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

(2019) Zhenguo Nie et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Simulation of hyperelastic materials in real-time using deep learning

(2019) Andrea Mendizabal et al.   MEDICAL IMAGE ANALYSIS

Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials

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

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

(2018) Liang Liang et al.   Journal of the Royal Society Interface

Automatised selection of load paths to construct reduced-order models in computational damage micromechanics: from dissipation-driven random selection to Bayesian optimization

(2016) Olivier Goury et al.   COMPUTATIONAL MECHANICS

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

Guaranteed error bounds in homogenisation: an optimum stochastic approach to preserve the numerical separation of scales

(2016) D. A. Paladim et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Mixed boundary conditions for FFT-based homogenization at finite strains

(2015) Matthias Kabel et al.   COMPUTATIONAL MECHANICS

Reduced Basis Multiscale Finite Element Methods for Elliptic Problems

(2015) Jan S. Hesthaven et al.   MULTISCALE MODELING & SIMULATION

Erratum: Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces

(2014) Paul G. Constantine et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

A three-scale domain decomposition method for the 3D analysis of debonding in laminates

(2009) Pierre Kerfriden et al.   COMPUTATIONAL MECHANICS

Model reduction by CPOD and Kriging

(2009) Manyu Xiao et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Hyper-reduction of mechanical models involving internal variables

(2008) D. Ryckelynck   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING