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. 2107.04320
  4. Cited By
IDRLnet: A Physics-Informed Neural Network Library

IDRLnet: A Physics-Informed Neural Network Library

9 July 2021
Wei Peng
Jun Zhang
Weien Zhou
Xiaoyu Zhao
W. Yao
Xiaoqian Chen
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "IDRLnet: A Physics-Informed Neural Network Library"

8 / 8 papers shown
Title
jinns: a JAX Library for Physics-Informed Neural Networks
jinns: a JAX Library for Physics-Informed Neural Networks
Hugo Gangloff
Nicolas Jouvin
AI4CE
73
0
0
18 Dec 2024
Discovering Physics-Informed Neural Networks Model for Solving Partial
  Differential Equations through Evolutionary Computation
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
Bo Zhang
Chao Yang
PINN
29
3
0
18 May 2024
Physics Informed Neural Network Code for 2D Transient Problems
  (PINN-2DT) Compatible with Google Colab
Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
Pawel Maczuga
Maciej Sikora
Maciej Skoczeñ
Przemyslaw Ro.znawski
Filip Tluszcz
Marcin Szubert
Marcin Lo's
W. Dzwinel
K. Pingali
Maciej Paszyñski
AI4CE
14
0
0
24 Sep 2023
Robust Regression with Highly Corrupted Data via Physics Informed Neural
  Networks
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Wei Peng
Wenjuan Yao
Weien Zhou
Xiaoya Zhang
Weijie Yao
PINN
35
5
0
19 Oct 2022
RANG: A Residual-based Adaptive Node Generation Method for
  Physics-Informed Neural Networks
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
Wei Peng
Weien Zhou
Xiaoya Zhang
Wenjuan Yao
Zheliang Liu
21
15
0
02 May 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
24
1,170
0
14 Jan 2022
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
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
91
126
0
14 Dec 2020
1