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MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling
v1v2 (latest)

MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling

27 April 2023
Yicun Huang
Changfu Zou
Yongqian Li
T. Wik
    PINN
ArXiv (abs)PDFHTML

Papers citing "MINN: Learning the dynamics of differential-algebraic equations and application to battery modeling"

14 / 14 papers shown
Title
Diagnostic-free onboard battery health assessment
Yunhong Che
Vivek N. Lam
Jinwook Rhyu
Joachim Schaeffer
Minsu Kim
M. Bazant
W. Chueh
R. D. Braatz
86
0
0
10 Mar 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
Cyrus Neary
Nathan Tsao
Ufuk Topcu
152
2
0
15 Dec 2024
Physics-informed machine learning of redox flow battery based on a
  two-dimensional unit cell model
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model
Wenqian Chen
Yu-Hang Fu
P. Stinis
PINN
67
12
0
31 May 2023
Characterizing possible failure modes in physics-informed neural
  networks
Characterizing possible failure modes in physics-informed neural networks
Aditi S. Krishnapriyan
A. Gholami
Shandian Zhe
Robert M. Kirby
Michael W. Mahoney
PINNAI4CE
121
649
0
02 Sep 2021
Predicting battery end of life from solar off-grid system field data
  using machine learning
Predicting battery end of life from solar off-grid system field data using machine learning
A. Aitio
David A. Howey
47
79
0
29 Jul 2021
High-performance symbolic-numerics via multiple dispatch
High-performance symbolic-numerics via multiple dispatch
Shashi Gowda
Yingbo Ma
Alessandro Cheli
Maja Gwóźdź
Viral B. Shah
Alan Edelman
Chris Rackauckas
74
65
0
09 May 2021
Revealing hidden dynamics from time-series data by ODENet
Revealing hidden dynamics from time-series data by ODENet
Pipi Hu
Wuyue Yang
Yi Zhu
L. Hong
AI4TS
136
35
0
11 May 2020
DeepXDE: A deep learning library for solving differential equations
DeepXDE: A deep learning library for solving differential equations
Lu Lu
Xuhui Meng
Zhiping Mao
George Karniadakis
PINNAI4CE
101
1,554
0
10 Jul 2019
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
501
5,179
0
19 Jun 2018
Multistep Neural Networks for Data-driven Discovery of Nonlinear
  Dynamical Systems
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
M. Raissi
P. Perdikaris
George Karniadakis
PINN
158
266
0
04 Jan 2018
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
119
933
0
28 Nov 2017
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
182
5,067
0
27 Jun 2016
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,438
0
03 Jun 2014
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