A new family of Constitutive Artificial Neural Networks towards automated model discovery

15 September 2022

Papers citing "A new family of Constitutive Artificial Neural Networks towards automated model discovery"

24 / 24 papers shown

Title
Atrial constitutive neural networks Mathias Peirlinck K. Linka Ellen Kuhl 29 0 0 03 Apr 2025
Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios Abedulgader Baktheer Fadi Aldakheel AI4CE 46 1 0 07 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 43 1 0 12 Feb 2025
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling H. Holthusen T. Brepols K. Linka Ellen Kuhl 21 4 0 17 Oct 2024
Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks Birte Boes Jaan-Willem Simon H. Holthusen AI4CE 30 6 0 27 Jul 2024
Bayesian neural networks for predicting uncertainty in full-field material response G. Pasparakis Lori Graham-Brady Michael D. Shields AI4CE 29 4 0 21 Jun 2024
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 19 5 0 27 Mar 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
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses S. Jafarzadeh Stewart Silling Ning Liu Zhongqiang Zhang Yue Yu AI4CE 19 15 0 11 Jan 2024
Theory and implementation of inelastic Constitutive Artificial Neural Networks H. Holthusen L. Lamm T. Brepols Stefanie Reese Ellen Kuhl AI4CE 28 29 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 19 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 22 28 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 12 22 0 05 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
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 8 17 0 24 Jul 2023
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression Zhen Zhang Zongren Zou E. Kuhl George Karniadakis 15 41 0 16 Jul 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 45 11 0 04 May 2023
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes Francesco Regazzoni S. Pagani M. Salvador Luca Dede' A. Quarteroni AI4CE 31 7 0 28 Apr 2023
Viscoelastic Constitutive Artificial Neural Networks (vCANNs) $-$ a framework for data-driven anisotropic nonlinear finite viscoelasticity Kian P. Abdolazizi K. Linka C. Cyron 8 32 0 21 Mar 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
Data-driven Tissue Mechanics with Polyconvex Neural Ordinary Differential Equations Vahidullah Tac F. Sahli Costabal A. B. Tepole AI4CE 25 69 0 03 Oct 2021