Physics informed neural networks for continuum micromechanics

14 October 2021

Papers citing "Physics informed neural networks for continuum micromechanics"

36 / 36 papers shown

Title
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures Bilal Ahmed Yuqing Qiu Diab W. Abueidda Waleed El-Sekelly Tarek Abdoun M. Mobasher AI4CE 31 0 0 11 May 2025
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 43 0 0 27 Mar 2025
Physics-informed DeepONet with stiffness-based loss functions for structural response prediction Bilal Ahmed Yuqing Qiu Diab W. Abueidda Waleed El-Sekelly Borja Garcia de Soto Tarek Abdoun M. Mobasher 18 0 0 02 Sep 2024
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements K. Shukla Zongren Zou Chi Hin Chan Additi Pandey Zhicheng Wang George Karniadakis PINN 47 7 0 30 Jul 2024
Neural networks for bifurcation and linear stability analysis of steady states in partial differential equations M. L. Shahab Hadi Susanto 23 2 0 29 Jul 2024
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN) Chenhao Si Ming Yan AI4CE PINN 35 3 0 05 Jun 2024
Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks D. Anton Jendrik-Alexander Tröger Henning Wessels Ulrich Römer Alexander Henkes Stefan Hartmann AI4CE 33 4 0 28 May 2024
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks Hamidreza Eivazi Mahyar Alikhani Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 26 0 0 22 May 2024
Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks Stefan Hildebrand Sandra Klinge 33 0 0 04 Mar 2024
Physics-informed neural network for modeling dynamic linear elasticity Vijay Kag Venkatesh Gopinath PINN 9 1 0 23 Dec 2023
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process Deepak Akhare Zeping Chen R. Gulotty Tengfei Luo Jian-Xun Wang AI4CE 19 5 0 13 Nov 2023
Theory and implementation of inelastic Constitutive Artificial Neural Networks H. Holthusen L. Lamm T. Brepols Stefanie Reese Ellen Kuhl AI4CE 36 29 0 10 Nov 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
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 43 0 0 27 Sep 2023
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes Gledson Rodrigo Tondo Sebastian Rau I. Kavrakov Guido Morgenthal 27 6 0 21 Sep 2023
Graph Neural Networks for Dynamic Modeling of Roller Bearing Vinay Sharma Jens Ravesloot C. Taal Olga Fink AI4CE 31 0 0 19 Sep 2023
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks Siyuan Song Hanxun Jin AI4CE PINN 25 6 0 29 Aug 2023
Physics-guided training of GAN to improve accuracy in airfoil design synthesis Kazunari Wada Katsuyuki Suzuki Kazuo Yonekura AI4CE 24 11 0 19 Aug 2023
Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials Ali Kamali K. Laksari 15 6 0 01 Jun 2023
Learning from Integral Losses in Physics Informed Neural Networks Ehsan Saleh Saba Ghaffari Timothy Bretl Luke N. Olson Matthew West PINN AI4CE 30 4 0 27 May 2023
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs Jinshuai Bai Guirong Liu Ashish Gupta Laith Alzubaidi Xinzhu Feng Yuantong T. Gu PINN 16 1 0 13 Apr 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 25 68 0 14 Mar 2023
Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance Panos Pantidis Habiba Eldababy Christopher Miguel Tagle M. Mobasher 29 20 0 03 Mar 2023
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains Ali Harandi Ahmad Moeineddin Michael Kaliske Stefanie Reese Shahed Rezaei AI4CE PINN 22 42 0 09 Feb 2023
Deep learning for full-field ultrasonic characterization Yang Xu Fatemeh Pourahmadian Jian Song Congli Wang AI4CE 29 4 0 06 Jan 2023
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data D. Anton Henning Wessels AI4CE 28 7 0 15 Dec 2022
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 26 3 0 24 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 27 48 0 14 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 82 28 0 01 Nov 2022
Spiking neural networks for nonlinear regression Alexander Henkes Jason Eshraghian Henning Wessels 36 27 0 06 Oct 2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations Shihong Zhang Chi Zhang Bo Wang AI4CE 19 3 0 06 Sep 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 19 112 0 27 Jun 2022
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics Alexander Henkes Henning Wessels 3DV MedIm AI4CE 15 38 0 31 May 2022
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 101 274 0 20 Apr 2021
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 150 1,339 0 27 Aug 2019