Physics-informed machine learning estimation of the temperature of large-format lithium-ion batteries under various operating conditions

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 2K citations · Full text

Computing, Computer Science, Physics +16

Predicting the state of charge and health of batteries using data-driven machine learning

Man‐Fai Ng, Jin Zhao, Qingyu Yan et al. · Nature Machine Intelligence · 2020 · 743 citations · Full text

Engineering, Computer Science, Materials Science +12

Physics-informed neural networks for inverse problems in nano-optics and metamaterials

Optics Express · 2020 · 636 citations · Full text

Engineering, Materials Science, Physics +17

A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

Navid Zobeiry, Keith D. Humfeld · Engineering Applications of Artificial Intelligence · 2021 · 417 citations · Full text

Engineering, Manufacturing Engineering, Mechanical Engineering +17

Asymmetric Temperature Modulation for Extreme Fast Charging of Lithium-Ion Batteries

Xiaoguang Yang, Teng Liu, Yue Gao et al. · Joule · 2019 · 381 citations · Full text

Engineering, Materials Engineering, Materials Science +16