Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing

14 November 2022

Papers citing "Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing"

26 / 26 papers shown

Title
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks M. Haywood-Alexander Giacamo Arcieri A. Kamariotis Eleni Chatzi 21 1 0 02 Oct 2024
SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks John Anticev Ali Aghdaei Wuxinlin Cheng Zhuo Feng AI4CE 26 0 0 10 Jul 2024
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations Alice Cicirello PINN AI4CE 24 7 0 08 May 2024
Stacked tensorial neural networks for reduced-order modeling of a parametric partial differential equation Caleb G. Wagner 9 0 0 21 Dec 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
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 17 0 0 25 Aug 2023
A Domain-adaptive Physics-informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media Shiyuan Piao Hong Gu Aina Wang Pan Qin PINN 16 2 0 12 Aug 2023
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN Shahed Rezaei Ahmad Moeineddin Ali Harandi PINN 12 17 0 10 Apr 2023
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach Yongcun Song Xiaoming Yuan Hangrui Yue PINN 19 6 0 16 Feb 2023
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 8 26 0 23 Dec 2022
Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media Salah A. Faroughi Ramin Soltanmohammad Pingki Datta S. K. Mahjour S. Faroughi 13 22 0 17 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 19 3 0 24 Nov 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 21 87 0 15 Nov 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 18 10 0 30 Jun 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 28 26 0 28 Jan 2022
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 98 353 0 05 Oct 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
Hard Encoding of Physics for Learning Spatiotemporal Dynamics Chengping Rao Hao-Lun Sun Yang Liu PINN AI4CE 27 9 0 02 May 2021
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 220 0 26 Apr 2021
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics Keefe Huang M. Krügener Alistair Brown F. Menhorn H. Bungartz D. Hartmann AI4CE 20 24 0 25 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 139 219 0 29 Sep 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,163 0 16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015