ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.01456
  4. Cited By
Frequency-compensated PINNs for Fluid-dynamic Design Problems

Frequency-compensated PINNs for Fluid-dynamic Design Problems

3 November 2020
Tongtao Zhang
Biswadip Dey
P. Kakkar
A. Dasgupta
Amit Chakraborty
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Frequency-compensated PINNs for Fluid-dynamic Design Problems"

6 / 6 papers shown
Using Parametric PINNs for Predicting Internal and External Turbulent
  Flows
Using Parametric PINNs for Predicting Internal and External Turbulent Flows
Shinjan Ghosh
Amit Chakraborty
Georgia Olympia Brikis
Biswadip Dey
234
2
0
24 Oct 2024
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
Shinjan Ghosh
Amit Chakraborty
Georgia Olympia Brikis
Biswadip Dey
PINNAI4CE
287
10
0
09 Jun 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and
  Applications
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
PINNAI4CE
453
164
0
15 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
S. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINNAI4CE
305
75
0
14 Nov 2022
Demystifying the Data Need of ML-surrogates for CFD Simulations
Demystifying the Data Need of ML-surrogates for CFD Simulations
Tongtao Zhang
Biswadip Dey
Krishna Veeraraghavan
Harshad Kulkarni
Amit Chakraborty
AI4CE
202
6
0
05 May 2022
Physics-informed neural networks for modeling rate- and
  temperature-dependent plasticity
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora
P. Kakkar
Biswadip Dey
Amit Chakraborty
PINNAI4CE
430
22
0
20 Jan 2022
1
Page 1 of 1