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المؤلفون: Peter Bjørn Jørgensen, Alejandro A. Franco, Teo Lombardo, Chao Zhang, Arnaud Demortière, Arghya Bhowmik, A. Gallo-Bueno, Elixabete Ayerbe, Marine Reynaud, Alexis Grimaud, Tejs Vegge, Francisco Alcaide, Fabian Årén, Javier Carrasco, Hassna El-Bouysidy, Marc Duquesnoy, Patrik Johansson
المساهمون: Laboratoire réactivité et chimie des solides - UMR CNRS 7314 (LRCS), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)
المصدر: Chemical Reviews
Chemical Reviews, American Chemical Society, 2021, ⟨10.1021/acs.chemrev.1c00108⟩
Lombardo, T, Duquesnoy, M, El-Bouysidy, H, Årén, F, Gallo-Bueno, A, Jørgensen, P B, Bhowmik, A, Demortière, A, Ayerbe, E, Alcaide, F, Reynaud, M, Carrasco, J, Grimaud, A, Zhang, C, Vegge, T, Johansson, P & Franco, A A 2022, ' Artificial Intelligence Applied to Battery Research : Hype or Reality? ', Chemical Reviews, vol. 122, pp. 10899–10969 . https://doi.org/10.1021/acs.chemrev.1c00108مصطلحات موضوعية: Battery (electricity), General interest, Chemistry, business.industry, 020209 energy, Materialkemi, 02 engineering and technology, General Chemistry, 010402 general chemistry, 01 natural sciences, 7. Clean energy, 0104 chemical sciences, Machine Learning, [SPI]Engineering Sciences [physics], Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Materials Chemistry, [CHIM]Chemical Sciences, Artificial intelligence, business, ComputingMilieux_MISCELLANEOUS
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