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. 2205.09332
  4. Cited By
Accelerated Training of Physics-Informed Neural Networks (PINNs) using
  Meshless Discretizations

Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations

19 May 2022
Ramansh Sharma
Varun Shankar
ArXivPDFHTML

Papers citing "Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations"

3 / 3 papers shown
Title
Harnessing physics-informed operators for high-dimensional reliability
  analysis problems
Harnessing physics-informed operators for high-dimensional reliability analysis problems
N Navaneeth
Tushar
Souvik Chakraborty
AI4CE
29
0
0
07 Sep 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
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving
  Navier-Stokes Equations
EPINN-NSE: Enhanced Physics-Informed Neural Networks for Solving Navier-Stokes Equations
Ayoub Farkane
Mounir Ghogho
M. Oudani
M. Boutayeb
PINN
15
4
0
07 Apr 2023
1