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. 2106.11451
  4. Cited By
Physics-constrained deep neural network method for estimating parameters
  in a redox flow battery
v1v2 (latest)

Physics-constrained deep neural network method for estimating parameters in a redox flow battery

21 June 2021
Qizhi He
P. Stinis
A. Tartakovsky
ArXiv (abs)PDFHTML

Papers citing "Physics-constrained deep neural network method for estimating parameters in a redox flow battery"

3 / 3 papers shown
Title
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi
Chaopeng Shen and
Daniel Kifer
AI4CE
120
0
0
13 May 2025
Thermodynamically Consistent Machine-Learned Internal State Variable
  Approach for Data-Driven Modeling of Path-Dependent Materials
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials
Xiaolong He
Jiun-Shyan Chen
AI4CE
115
51
0
01 May 2022
Enhanced physics-constrained deep neural networks for modeling vanadium
  redox flow battery
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery
Qizhi He
Yucheng Fu
P. Stinis
A. Tartakovsky
61
14
0
03 Mar 2022
1