Deep autoencoders for physics-constrained data-driven nonlinear
materials modeling

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling

3 September 2022

Jiun-Shyan Chen

Papers citing "Deep autoencoders for physics-constrained data-driven nonlinear materials modeling"

16 / 16 papers shown

Title
A review on data-driven constitutive laws for solids J. Fuhg G. A. Padmanabha N. Bouklas B. Bahmani WaiChing Sun Nikolaos N. Vlassis Moritz Flaschel P. Carrara L. Lorenzis AI4CE AILaw 31 32 0 06 May 2024
A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites Betim Bahtiri B. Arash Sven Scheffler Maximilian Jux R. Rolfes AI4CE 26 5 0 27 Mar 2024
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing Junaid Farooq Danish Rafiq Pantelis R. Vlachas M. A. Bazaz 27 0 0 24 Jan 2024
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems Jonghyuk Baek Yanran Wang J. S. Chen 25 1 0 16 Jan 2024
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics Honghui Du QiZhi He AI4CE 46 4 0 21 Nov 2023
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method Jonghyuk Baek Yanran Wang Xiaolong He Yu Lu J. McCartney J. S. Chen 19 0 0 24 Sep 2023
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture Jonghyuk Baek Jiun-Shyan Chen 18 12 0 04 Jul 2023
MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems Markus J. Buehler AI4CE 29 41 0 30 Jun 2023
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems Karan Taneja Xiaolong He Qizhi He Jiun-Shyan Chen 39 8 0 26 May 2023
Knowledge-integrated AutoEncoder Model Teddy Lazebnik Liron Simon Keren 38 5 0 12 Mar 2023
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites Haoyan Wei Chengtang Wu Wei Hu Tung-Huan Su Hitoshi Oura M. Nishi T. Naito Stan Chung Leo Shen AI4CE 11 17 0 06 Jan 2023
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 32 32 0 30 Jul 2022
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials Xiaolong He Jiun-Shyan Chen AI4CE 29 48 0 01 May 2022
A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization Jonghyuk Baek Jiun-Shyan Chen Kristen Susuki 16 16 0 28 Apr 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 19 36 0 26 Apr 2022
Manifold embedding data-driven mechanics B. Bahmani WaiChing Sun PINN AI4CE 18 9 0 18 Dec 2021