Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics

9 May 2022

Papers citing "Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics"

24 / 24 papers shown

Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 51 0 0 28 Apr 2025
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems Luning Sun Xin-Yang Liu Siyan Zhao Aditya Grover Jian-Xun Wang Jayaraman J. Thiagarajan AI4CE 21 0 0 08 Apr 2025
Implicit Neural Differential Model for Spatiotemporal Dynamics Deepak Akhare P. Du Tengfei Luo Jian-Xun Wang PINN AI4CE 46 0 0 03 Apr 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Qi Wang Yuan Mi H. Wang Yi Zhang Ruizhi Chengze Hongsheng Liu J. Wen Hao Sun AI4CE 38 0 0 28 Jan 2025
P $^2$ C $^2$ Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics Qi Wang Pu Ren Hao Zhou Xin-Yang Liu Z. Deng ... Zidong Wang Jian-Xun Wang Ji-Rong_Wen Hao Sun Yang Liu 48 5 0 29 Oct 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers Parsa Esmati Amirhossein Dadashzadeh Vahid Goodarzi Nicolas Larrosa Nicolo Grilli 27 0 0 20 Oct 2024
$A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties$ A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties Rasoul Najafi Koopas Shahed Rezaei N. Rauter Richard Ostwald R. Lammering AI4CE 31 2 0 22 Jul 2024
PAPM: A Physics-aware Proxy Model for Process Systems Pengwei Liu Zhongkai Hao Xingyu Ren Hangjie Yuan Jiayang Ren Dong Ni AI4CE PINN 40 0 0 07 Jul 2024
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki Ali Harandi Mayu Muramatsu A. Viardin Markus Apel T. Brepols Stefanie Reese Shahed Rezaei AI4CE 26 12 0 21 May 2024
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space Rasoul Najafi Koopas Shahed Rezaei N. Rauter Richard Ostwald R. Lammering AI4CE 27 4 0 03 May 2024
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations Shahed Rezaei Reza Najian Asl S. Faroughi Mahdi Asgharzadeh Ali Harandi Rasoul Najafi Koopas G. Laschet Stefanie Reese Markus Apel AI4CE 29 4 0 28 Mar 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling Deepak Akhare Tengfei Luo Jian-Xun Wang 19 6 0 30 Dec 2023
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation Han Gao Xu Han Xiantao Fan Luning Sun Liping Liu Lian Duan Jian-Xun Wang DiffM AI4CE 30 20 0 14 Nov 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 11 5 0 13 Nov 2023
Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models Yixuan Sun Elizabeth Cucuzzella Steven Brus S. Narayanan B. Nadiga Luke Van Roekel Jan Huckelheim Sandeep Madireddy 14 3 0 10 Nov 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 14 9 0 31 Aug 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 16 1 0 26 Jul 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data Songming Liu Zhongkai Hao Chengyang Ying Hang Su Ze Cheng Jun Zhu AI4CE 8 9 0 30 May 2023
Reliable extrapolation of deep neural operators informed by physics or sparse observations Min Zhu Handi Zhang Anran Jiao George Karniadakis Lu Lu 42 90 0 13 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 21 87 0 15 Nov 2022
Multi-fidelity wavelet neural operator with application to uncertainty quantification A. Thakur Tapas Tripura S. Chakraborty 22 12 0 11 Aug 2022
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical Solver Zhongzhan Huang Senwei Liang Hong Zhang Haizhao Yang Liang Lin AI4CE 23 8 0 07 Aug 2022
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 117 506 0 11 Mar 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction Houpu Yao Yi Gao Yongming Liu AI4CE 49 66 0 31 Jan 2020