Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity

30 July 2022

Papers citing "Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity"

11 / 11 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 23 32 0 06 May 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations J. Storm I. Rocha F. P. Meer AI4CE 43 2 0 20 Feb 2024
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processes J. Hauth C. Safta Xun Huan Ravi G. Patel Reese E. Jones BDL UQCV 18 2 0 17 Feb 2024
Recurrent neural networks and transfer learning for elasto-plasticity in woven composites E. Ghane Martin Fagerström M. Mirkhalaf AI4CE 33 10 0 22 Nov 2023
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength Tongya Zheng Tianli Zhang Qingzheng Guan Wenjie Huang Zunlei Feng Min-Gyoo Song Chun-Yen Chen AI4CE 24 1 0 26 Jul 2023
Synthesizing realistic sand assemblies with denoising diffusion in latent space Nikolaos N. Vlassis WaiChing Sun K. Alshibli R. Regueiro DiffM 17 6 0 07 Jun 2023
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Peter Yichen Chen B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 90 32 0 27 Apr 2023
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics Saurabh Deshpande Raúl I. Sosa Stéphane P. A. Bordas J. Lengiewicz AI4CE 15 18 0 01 Dec 2022
Modular machine learning-based elastoplasticity: generalization in the context of limited data J. Fuhg Craig M. Hamel K. Johnson Reese E. Jones N. Bouklas 24 48 0 15 Oct 2022
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling Xiaolong He Qizhi He Jiun-Shyan Chen AI4CE PINN SyDa 29 56 0 03 Sep 2022
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 63 26 0 20 May 2021