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On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach

On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach

28 March 2025
Josu Yeregui
Iker Lopetegi
Sergio Fernandez
Erik Garayalde
Unai Iraola
ArXiv (abs)PDFHTML

Papers citing "On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach"

4 / 4 papers shown
Title
An Expert's Guide to Training Physics-informed Neural Networks
An Expert's Guide to Training Physics-informed Neural Networks
Sizhuang He
Shyam Sankaran
Hanwen Wang
P. Perdikaris
PINN
98
108
0
16 Aug 2023
DeepONet: Learning nonlinear operators for identifying differential
  equations based on the universal approximation theorem of operators
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
248
2,162
0
08 Oct 2019
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
101
615
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
88
933
0
28 Nov 2017
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