Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging

2 September 2020

Papers citing "Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging"

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Physics-Informed Machine Learning in Biomedical Science and Engineering Nazanin Ahmadi Qianying Cao J. Humphrey George Karniadakis PINN AI4CE 66 0 0 06 Oct 2025
Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation Tianyi Zeng Tianyi Wang Zimo Zeng Feiyang Zhang Jiseop Byeon ... Yajie Zou Yangyang Wang Junfeng Jiao Christian Claudel Xinbo Chen AI4CE 218 2 0 28 Feb 2025
Digital Twin Calibration with Model-Based Reinforcement Learning Hua Zheng Wei Xie I. Ryzhov Keilung Choy 202 0 0 04 Jan 2025
EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials Farinaz Mostajeran Salah A Faroughi 185 9 0 12 Oct 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 219 8 0 28 May 2024
Approximation of Solution Operators for High-dimensional PDEs Nathan Gaby Xiaojing Ye 120 0 0 18 Jan 2024
Physics-informed neural network for modeling dynamic linear elasticity Vijay Kag Venkatesh Gopinath PINN 172 1 0 23 Dec 2023
Theory and implementation of inelastic Constitutive Artificial Neural NetworksComputer Methods in Applied Mechanics and Engineering (CMAME), 2023 H. Holthusen L. Lamm T. Brepols Stefanie Reese Ellen Kuhl AI4CE 163 41 0 10 Nov 2023
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023 M. Haywood-Alexander Wei Liu Kiran Bacsa Zhilu Lai Eleni Chatzi AI4CE 236 21 0 31 Oct 2023
Deep Learning based Spatially Dependent Acoustical Properties Recovery Ruixian Liu Peter Gerstoft 145 0 0 17 Oct 2023
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning Qian Zhang Chen-Chun Wu Adar Kahana Youngeun Kim Yuhang Li George Karniadakis Priyadarshini Panda 109 10 0 31 Aug 2023
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural NetworksSoft Matter (SM), 2023 Siyuan Song Hanxun Jin AI4CE PINN 180 15 0 29 Aug 2023
MyCrunchGPT: A chatGPT assisted framework for scientific machine learningJournal of Machine Learning for Modeling and Computing (JMLMC), 2023 Varun V. Kumar Leonard Gleyzer Adar Kahana K. Shukla George Karniadakis AI4CE 162 16 0 27 Jun 2023
Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous MaterialsJournal of The Mechanical Behavior of Biomedical Materials (J Mech Behav Biomed Mater), 2023 Ali Kamali K. Laksari 148 14 0 01 Jun 2023
Physics-Informed Computer Vision: A Review and PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023 C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 213 50 0 29 May 2023
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentComputer Methods in Applied Mechanics and Engineering (CMAME), 2023 Betim Bahtiri B. Arash Sven Scheffler Maximilian Jux R. Rolfes 91 13 0 14 May 2023
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse RegimesJournal of the mechanics and physics of solids (JMPS), 2023 Minglang Yin Zongren Zou Enrui Zhang C. Cavinato J. Humphrey George Karniadakis SyDa MedIm AI4CE 161 11 0 04 May 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A ReviewApplied Mechanics Review (AMR), 2023 Hanxun Jin Enrui Zhang H. Espinosa AI4CE 268 92 0 14 Mar 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 134 9 0 19 Feb 2023
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs Nathan Gaby X. Ye Haomin Zhou 208 9 0 31 Jan 2023
Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty QuantificationJournal of Computational Physics (JCP), 2023 A. Alberts Ilias Bilionis 218 16 0 18 Jan 2023
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data D. Anton Henning Wessels AI4CE 136 9 0 15 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 237 137 0 15 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing S. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 155 61 0 14 Nov 2022
Spiking neural networks for nonlinear regressionRoyal Society Open Science (RSOS), 2022 Alexander Henkes Nhan Duy Truong Henning Wessels 226 40 0 06 Oct 2022
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning Enrui Zhang B. Spronck J. Humphrey George Karniadakis AI4CE 107 11 0 21 Aug 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 173 10 0 30 Jun 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element methodComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 135 140 0 27 Jun 2022
Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identificationComputational Mechanics (Comput. Mech.), 2022 Shuheng Liao Tianju Xue Jihoon Jeong Samantha Webster K. Ehmann Jian Cao AI4CE 95 81 0 15 Jun 2022
Calibrating constitutive models with full-field data via physics informed neural networks Craig M. Hamel K. Long S. Kramer AI4CE 129 35 0 30 Mar 2022
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics ProblemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Minglang Yin Enrui Zhang Yue Yu George Karniadakis AI4CE 193 114 0 25 Feb 2022
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity Rajat Arora P. Kakkar Biswadip Dey Amit Chakraborty PINN AI4CE 217 22 0 20 Jan 2022
$Dynamic fracture of a bicontinuously nanostructured copolymer: A deep-learning analysis of big-data-generating experiment$ Dynamic fracture of a bicontinuously nanostructured copolymer: A deep-learning analysis of big-data-generating experiment Hanxun Jin Tong Jiao R. Clifton Kyung-Suk Kim AI4CE 111 26 0 03 Dec 2021
Physics informed neural networks for continuum micromechanics Alexander Henkes Henning Wessels R. Mahnken PINN AI4CE 183 160 0 14 Oct 2021
Variational Physics Informed Neural Networks: the role of quadratures and test functions S. Berrone C. Canuto Moreno Pintore 143 58 0 05 Sep 2021
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural networkJournal of the Royal Society Interface (J. R. Soc. Interface), 2021 Minglang Yin Ehsan Ban B. Rego Enrui Zhang C. Cavinato J. Humphrey George Karniadakis AI4CE 138 55 0 25 Aug 2021
A physics-informed variational DeepONet for predicting the crack path in brittle materials S. Goswami Minglang Yin Yue Yu G. Karniadakis AI4CE 111 237 0 16 Aug 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A reviewActa Mechanica Sinica (Acta Mech. Sin.), 2021 Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 260 1,467 0 20 May 2021
Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties Anke Stoll P. Benner AI4CE 156 81 0 12 Oct 2020
Learning Thermodynamically Stable and Galilean Invariant Partial Differential Equations for Non-equilibrium Flows Juntao Huang Zhiting Ma Y. Zhou W. Yong AI4CE 135 17 0 28 Sep 2020

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