Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials

1 May 2022

Papers citing "Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials"

11 / 11 papers shown

Title
Towards scientific machine learning for granular material simulations -- challenges and opportunities Marc Fransen Andreas Fürst D. Tunuguntla Daniel N. Wilke Benedikt Alkin ... Takayuki Shuku WaiChing Sun T. Weinhart Dongwei Ye Hongyang Cheng AI4CE 34 0 0 01 Apr 2025
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 28 5 0 27 Mar 2024
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems Jonghyuk Baek Yanran Wang J. S. Chen 33 1 0 16 Jan 2024
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 29 0 0 24 Sep 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 23 17 0 24 Jul 2023
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture Jonghyuk Baek Jiun-Shyan Chen 28 12 0 04 Jul 2023
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems Karan Taneja Xiaolong He Qizhi He Jiun-Shyan Chen 44 8 0 26 May 2023
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content Betim Bahtiri B. Arash Sven Scheffler Maximilian Jux R. Rolfes 28 10 0 14 May 2023
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN Shahed Rezaei Ahmad Moeineddin Ali Harandi PINN 34 18 0 10 Apr 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 18 17 0 06 Jan 2023
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling Xiaolong He Qizhi He Jiun-Shyan Chen AI4CE PINN SyDa 42 56 0 03 Sep 2022