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PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
28 December 2023
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
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Papers citing
"PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model"
9 / 9 papers shown
Title
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
50
9
0
28 Dec 2023
Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh
Saba Ghaffari
Timothy Bretl
Luke N. Olson
Matthew West
PINN
AI4CE
70
4
0
27 May 2023
Physics-Informed Deep Neural Operator Networks
S. Goswami
Aniruddha Bora
Yue Yu
George Karniadakis
PINN
AI4CE
87
106
0
08 Jul 2022
Adversarial sampling of unknown and high-dimensional conditional distributions
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
GAN
59
21
0
08 Nov 2021
Estimating State of Charge for xEV batteries using 1D Convolutional Neural Networks and Transfer Learning
A. Bhattacharjee
Ashu Verma
S. Mishra
T. Saha
21
99
0
02 Nov 2020
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
Du Phan
Neeraj Pradhan
M. Jankowiak
58
358
0
24 Dec 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
248
2,131
0
08 Oct 2019
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
166
2,808
0
20 Feb 2015
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
165
4,304
0
18 Nov 2011
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