Polyconvex anisotropic hyperelasticity with neural networks

20 June 2021

Papers citing "Polyconvex anisotropic hyperelasticity with neural networks"

30 / 30 papers shown

Title
Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios Abedulgader Baktheer Fadi Aldakheel AI4CE 55 1 0 07 Mar 2025
Input Specific Neural Networks Asghar A. Jadoon D. Thomas Seidl Reese E. Jones J. Fuhg PINN 50 0 0 01 Mar 2025
Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies Gian-Luca Geuken P. Kurzeja David Wiedemann J. Mosler 57 1 0 12 Feb 2025
Learning 3D Garment Animation from Trajectories of A Piece of Cloth Yidi Shao Chen Change Loy Bo Dai 3DH AI4CE 35 1 0 03 Jan 2025
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Junyi Cao Shanyan Guan Yanhao Ge Wei Li Xiaokang Yang Chao Ma AI4CE 31 5 0 10 Oct 2024
Learning Physics-Consistent Material Behavior from Dynamic Displacements Zhichao Han Mohit Pundir Olga Fink David S. Kammer PINN AI4CE 40 0 0 25 Jul 2024
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models G. A. Padmanabha J. Fuhg C. Safta Reese E. Jones N. Bouklas 47 4 0 30 Jun 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 31 32 0 06 May 2024
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response Ravi G. Patel C. Safta Reese E. Jones AI4CE 35 1 0 05 Apr 2024
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses S. Jafarzadeh Stewart Silling Ning Liu Zhongqiang Zhang Yue Yu AI4CE 32 16 0 11 Jan 2024
Symmetry-enforcing neural networks with applications to constitutive modeling Kévin Garanger Julie A Kraus J. Rimoli 9 7 0 21 Dec 2023
Incorporating sufficient physical information into artificial neural networks: a guaranteed improvement via physics-based Rao-Blackwellization Gian-Luca Geuken J. Mosler P. Kurzeja AI4CE 16 5 0 10 Nov 2023
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches Jixin Hou Nicholas Filla Xianyan Chen M. Razavi Tianming Liu Xianqiao Wang 29 2 0 16 Oct 2023
On sparse regression, Lp-regularization, and automated model discovery Jeremy A. McCulloch Skyler R. St. Pierre K. Linka E. Kuhl 32 29 0 09 Oct 2023
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics J. Fuhg Reese E. Jones N. Bouklas AI4CE 28 22 0 05 Oct 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 43 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 25 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
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma Julius Berner B. Deng J. Tenenbaum Tao Du Chuang Gan Wojciech Matusik PINN AI4CE 95 32 0 27 Apr 2023
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN Shahed Rezaei Ahmad Moeineddin Ali Harandi PINN 32 18 0 10 Apr 2023
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations Vahidullah Tac Manuel K Rausch F. Sahli Costabal A. B. Tepole 28 33 0 11 Jan 2023
Modular machine learning-based elastoplasticity: generalization in the context of limited data J. Fuhg Craig M. Hamel K. Johnson Reese E. Jones N. Bouklas 29 48 0 15 Oct 2022
Evolution TANN and the identification of internal variables and evolution equations in solid mechanics Filippo Masi I. Stefanou AI4CE 19 30 0 27 Sep 2022
A new family of Constitutive Artificial Neural Networks towards automated model discovery K. Linka E. Kuhl AI4CE 33 157 0 15 Sep 2022
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
NN-EUCLID: deep-learning hyperelasticity without stress data Prakash Thakolkaran Akshay Joshi Yiwen Zheng Moritz Flaschel L. Lorenzis Siddhant Kumar 29 98 0 04 May 2022
Calibrating constitutive models with full-field data via physics informed neural networks Craig M. Hamel K. Long S. Kramer AI4CE 27 28 0 30 Mar 2022
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors C. Jekel K. Swartz D. White D. Tortorelli S. Watts AI4CE 15 2 0 25 Mar 2022
MD-inferred neural network monoclinic finite-strain hyperelasticity models for $β$ -HMX: Sobolev training and validation against physical constraints Nikolaos N. Vlassis Puhan Zhao R. Ma T. Sewell WaiChing Sun AI4CE 14 1 0 29 Nov 2021
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016