Physics-informed neural network for ultrasound nondestructive
quantification of surface breaking cracks

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks

7 May 2020

George Karniadakis

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Papers citing "Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks"

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Title
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs Pu Ren Chengping Rao Yang Liu Jianxun Wang Hao Sun DiffM AI4CE 133 204 0 26 Jun 2021
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions Ameya Dilip Jagtap Yeonjong Shin Kenji Kawaguchi George Karniadakis ODL 111 137 0 20 May 2021
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi P. Chiu M. Dao PINN AI4CE 79 4 0 05 May 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 173 287 0 20 Apr 2021
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models Steven Atkinson Yiming Zhang Liping Wang AI4CE 16 0 0 12 Mar 2021
Physics Informed Neural Networks for Simulating Radiative Transfer Siddhartha Mishra Roberto Molinaro PINN 91 110 0 25 Sep 2020
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class of inverse problems for PDEs Siddhartha Mishra Roberto Molinaro PINN 106 267 0 29 Jun 2020
Physics informed deep learning for computational elastodynamics without labeled data Chengping Rao Hao Sun Yang Liu PINN AI4CE 89 226 0 10 Jun 2020
Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data Steven Atkinson 42 8 0 07 Jun 2020
An Analysis of an Integrated Mathematical Modeling -- Artificial Neural Network Approach for the Problems with a Limited Learning Dataset Szymon Buchaniec M. Gnatowski G. Brus 28 14 0 08 Nov 2019