Physics informed WNO

12 February 2023

Papers citing "Physics informed WNO"

21 / 21 papers shown

Title
Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach Rajnish Kumar Tapas Tripura Souvik Chakraborty Sitikantha Roy 45 0 0 07 Mar 2025
DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Yaohua Zang P. Koutsourelakis AI4CE 54 1 0 10 Feb 2025
LE-PDE++: Mamba for accelerating PDEs Simulations Aoming Liang Zhaoyang Mu Qi liu Ruipeng Li Mingming Ge Dixia Fan AI4CE 42 0 0 04 Nov 2024
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations Takashi Furuya K. Taniguchi Satoshi Okuda 21 0 0 03 Oct 2024
$M$^{2}$M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need$ M $^{2}$ M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need Aoming Liang Zhaoyang Mu Pengxiao Lin Cong Wang Mingming Ge Ling Shao Dixia Fan Hao Tang AI4CE 31 0 0 01 Oct 2024
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics Sawan Kumar R. Nayek Souvik Chakraborty 28 1 0 17 Sep 2024
Harnessing physics-informed operators for high-dimensional reliability analysis problems N Navaneeth Tushar Souvik Chakraborty AI4CE 38 0 0 07 Sep 2024
Physics-Informed Geometry-Aware Neural Operator Weiheng Zhong Hadi Meidani AI4CE 40 4 0 02 Aug 2024
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator Hartej Soin Tapas Tripura Souvik Chakraborty 24 3 0 11 May 2024
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization Xiaoyu Xie S. Mowlavi M. Benosman AI4CE 32 1 0 23 Feb 2024
Neuroscience inspired scientific machine learning (Part-2): Variable spiking wavelet neural operator Shailesh Garg Souvik Chakraborty 32 0 0 15 Nov 2023
A foundational neural operator that continuously learns without forgetting Tapas Tripura Souvik Chakraborty CLL 43 7 0 29 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 20 10 0 08 Oct 2023
Waveformer for modelling dynamical systems N. Navaneeth Souvik Chakraborty 13 2 0 08 Oct 2023
DPA-WNO: A gray box model for a class of stochastic mechanics problem Tushar Souvik Chakraborty DiffM 21 3 0 24 Sep 2023
How important are specialized transforms in Neural Operators? Ritam Majumdar Shirish S. Karande L. Vig AI4CE 11 3 0 18 Aug 2023
Learning Generic Solutions for Multiphase Transport in Porous Media via the Flux Functions Operator W. Diab Omar Chaabi Shayma Alkobaisi A. Awotunde M. A. Kobaisi AI4CE 19 2 0 03 Jul 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 51 4 0 10 Feb 2023
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 223 2,287 0 18 Oct 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 125 508 0 11 Mar 2020
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 159 1,342 0 27 Aug 2019