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Papers
2011.01456
Cited By

Frequency-compensated PINNs for Fluid-dynamic Design Problems

Frequency-compensated PINNs for Fluid-dynamic Design Problems

3 November 2020

Amit Chakraborty

ArXiv (abs)PDF HTML

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

Amit Chakraborty

Georgia Olympia Brikis

178

2

0

24 Oct 2024

RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows

RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows

Amit Chakraborty

Georgia Olympia Brikis

201

9

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

Hang Su

Jun Zhu

362

154

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

256

67

0

14 Nov 2022

Demystifying the Data Need of ML-surrogates for CFD Simulations

Demystifying the Data Need of ML-surrogates for CFD Simulations

Krishna Veeraraghavan

Harshad Kulkarni

Amit Chakraborty

143

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

Amit Chakraborty

321

22

0

20 Jan 2022