Artificial Intelligence Applied to Battery Research: Hype or Reality?
| العنوان: | Artificial Intelligence Applied to Battery Research: Hype or Reality? |
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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.1c00108 |
| بيانات النشر: | HAL CCSD, 2021. |
| سنة النشر: | 2021 |
| مصطلحات 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 |
| الوصف: | This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily understandable, review of general interest to the battery community. It addresses the concepts, approaches, tools, outcomes, and challenges of using AI/ML as an accelerator for the design and optimization of the next generation of batteries - a current hot topic. It intends to create both accessibility of these tools to the chemistry and electrochemical energy sciences communities and completeness in terms of the different battery R&D aspects covered. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0009-2665 1520-6890 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9a02ffae041fbe1cdb3b6dfc4eb95b8 https://hal.archives-ouvertes.fr/hal-03475056 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....b9a02ffae041fbe1cdb3b6dfc4eb95b8 |
| قاعدة البيانات: | OpenAIRE |
Find this issue from the American Chemical Society | تدمد: | 00092665 15206890 |
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