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

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

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

27 April 2023

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

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Title
Fast and Generalizable parameter-embedded Neural Operators for Lithium-Ion Battery Simulation Amir Ali Panahi Daniel Luder Billy Wu Gregory Offer Dirk Uwe Sauer Weihan Li 92 0 0 11 Aug 2025
Diagnostic-free onboard battery health assessment Yunhong Che Vivek N. Lam Jinwook Rhyu Joachim Schaeffer Minsu Kim M. Bazant W. Chueh R. D. Braatz 162 4 0 10 Mar 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary Nathan Tsao Ufuk Topcu 345 3 0 15 Dec 2024
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell modelJournal of Power Sources (JPS), 2023 Wenqian Chen Yu-Hang Fu P. Stinis PINN 241 23 0 31 May 2023
Characterizing possible failure modes in physics-informed neural networks Aditi S. Krishnapriyan A. Gholami Shandian Zhe Robert M. Kirby Michael W. Mahoney PINN AI4CE 310 853 0 02 Sep 2021
Predicting battery end of life from solar off-grid system field data using machine learning A. Aitio David A. Howey 63 88 0 29 Jul 2021
High-performance symbolic-numerics via multiple dispatchACM Communications in Computer Algebra (CCA), 2021 Shashi Gowda Yingbo Ma Alessandro Cheli Maja Gwóźdź Viral B. Shah Alan Edelman Chris Rackauckas 146 73 0 09 May 2021
Revealing hidden dynamics from time-series data by ODENet Pipi Hu Wuyue Yang Yi Zhu L. Hong AI4TS 235 38 0 11 May 2020
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 330 1,864 0 10 Jul 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 892 6,073 0 19 Jun 2018
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems M. Raissi P. Perdikaris George Karniadakis PINN 215 276 0 04 Jan 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 227 659 0 28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 214 1,057 0 28 Nov 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 579 5,996 0 27 Jun 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2014 Dong Wang B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.7K 25,043 0 03 Jun 2014