NN-EUCLID: deep-learning hyperelasticity without stress data

NN-EUCLID: deep-learning hyperelasticity without stress data

4 May 2022

Prakash Thakolkaran

Moritz Flaschel

Papers citing "NN-EUCLID: deep-learning hyperelasticity without stress data"

18 / 18 papers shown

Title
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies Gian-Luca Geuken P. Kurzeja David Wiedemann J. Mosler 43 1 0 12 Feb 2025
Learning Physics-Consistent Material Behavior from Dynamic Displacements Zhichao Han Mohit Pundir Olga Fink David S. Kammer PINN AI4CE 30 0 0 25 Jul 2024
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 21 31 0 06 May 2024
Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks Stefan Hildebrand Sandra Klinge 26 0 0 04 Mar 2024
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications M. Haywood-Alexander Wei Liu Kiran Bacsa Zhilu Lai Eleni Chatzi AI4CE 13 9 0 31 Oct 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 35 0 0 27 Sep 2023
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields Vahidullah Tac Manuel K Rausch Ilias Bilionis F. Sahli Costabal A. B. Tepole DiffM AI4CE 19 3 0 11 Sep 2023
Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen J. Fuhg N. Bouklas Reese E. Jones 11 10 0 21 Aug 2023
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables Javier Orera-Echeverria J. Ayensa-Jiménez Manuel Doblaré 18 1 0 07 Aug 2023
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes Minglang Yin Zongren Zou Enrui Zhang C. Cavinato J. Humphrey George Karniadakis SyDa MedIm AI4CE 42 11 0 04 May 2023
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations Vahidullah Tac Manuel K Rausch F. Sahli Costabal A. B. Tepole 18 33 0 11 Jan 2023
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 10 5 0 23 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 79 27 0 01 Nov 2022
Spiking neural networks for nonlinear regression Alexander Henkes Jason Eshraghian Henning Wessels 29 26 0 06 Oct 2022
A new family of Constitutive Artificial Neural Networks towards automated model discovery K. Linka E. Kuhl AI4CE 14 156 0 15 Sep 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 16 22 0 26 Jul 2022
Calibrating constitutive models with full-field data via physics informed neural networks Craig M. Hamel K. Long S. Kramer AI4CE 25 28 0 30 Mar 2022
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 173 596 0 22 Sep 2016