A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization

28 April 2022

Papers citing "A Neural Network-enhanced Reproducing Kernel Particle Method for Modeling Strain Localization"

9 / 9 papers shown

Title
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity Honghui Du Binyao Guo QiZhi He AI4CE 38 0 0 15 Jul 2024
N-Adaptive Ritz Method: A Neural Network Enriched Partition of Unity for Boundary Value Problems Jonghyuk Baek Yanran Wang J. S. Chen 27 1 0 16 Jan 2024
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics Honghui Du QiZhi He AI4CE 52 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 21 0 0 24 Sep 2023
A Neural Network-Based Enrichment of Reproducing Kernel Approximation for Modeling Brittle Fracture Jonghyuk Baek Jiun-Shyan Chen 20 12 0 04 Jul 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
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
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
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 153 1,339 0 27 Aug 2019