Physics-informed mamba neural network with potential knowledge for state-of-charge estimation of lithium-ion batteries

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Albert Gu, Tri Dao · arXiv (Cornell University) · 2023 · 1K citations · Full text

Computing, Computer Engineering, Computer Science +14

Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

Rui Xiong, Yue Pan, Weixiang Shen et al. · Renewable and Sustainable Energy Reviews · 2020 · 702 citations

Engineering, Materials Engineering, Materials Science +17

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

Fujin Wang, Zhi Zhai, Zhibin Zhao et al. · Nature Communications · 2024 · 607 citations · Full text

Engineering, Computer Science, Physics +17

The use of mathematical modeling in the design of lithium/polymer battery systems

Marc Doyle, John Newman · Electrochimica Acta · 1995 · 423 citations

Engineering, Chemical Engineering, Mathematics +14