ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.07477
  4. Cited By
Guiding continuous operator learning through Physics-based boundary
  constraints

Guiding continuous operator learning through Physics-based boundary constraints

14 December 2022
Nadim Saad
Gaurav Gupta
S. Alizadeh
Danielle C. Maddix
    AI4CE
ArXivPDFHTML

Papers citing "Guiding continuous operator learning through Physics-based boundary constraints"

9 / 9 papers shown
Title
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana
Michael McCabe
Lucas Meyer
Rudy Morel
Fruzsina J. Agocs
...
François Rozet
Liam Parker
M. Cranmer
S. Ho
Shirley Ho
PINN
AI4CE
66
7
1
30 Nov 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on
  Navier-Stokes and Atmospheric Dynamics
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
42
1
0
19 Jul 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
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
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao
Xingjian Shi
Boran Han
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Yi Zhu
Mu Li
Bernie Wang
BDL
DiffM
23
54
0
19 Jul 2023
Neural DAEs: Constrained neural networks
Neural DAEs: Constrained neural networks
Tue Boesen
E. Haber
Uri M. Ascher
31
3
0
25 Nov 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
124
200
0
28 Sep 2021
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
493
0
09 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations
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
2,281
0
18 Oct 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time
  Super-Resolution Framework
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang
S. Esmaeilzadeh
Kamyar Azizzadenesheli
K. Kashinath
Mustafa A. Mustafa
H. Tchelepi
P. Marcus
P. Prabhat
Anima Anandkumar
AI4CE
182
140
0
01 May 2020
1