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Implications of the...
Implications of the BATTERY 2030+ AI-Assisted Toolkit on Future Low-TRL Battery Discoveries and Chemistries
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- Bhowmik, Arghya (author)
- Dept Energy Convers & Storage, Bldg 301, DK-2800 Lyngby, Denmark.
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- Berecibar, Maitane (author)
- Vrije Univ Brussel, Battery Innovat Ctr, MOBI Res Grp, Pl Laan 2, B-1050 Brussels, Belgium.
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- Casas-Cabanas, Montse (author)
- Basque Res & Technol Alliance BRTA, Ctr Cooperat Res Alternat Energies CIC EnergiGUNE, Parque Tecnol Alava,Albert Einstein 48, Vitoria 01510, Spain.;Ikerbasque, Basque Fdn Sci, Maria Diaz de Haro 3, Bilbao 48013, Spain.;Alistore ERI, Amiens, France.
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- Csanyi, Gabor (author)
- Univ Cambridge, Engn Lab, Trumpington St, Cambridge CB2 1PZ, England.
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- Dominko, Robert (author)
- Alistore ERI, Amiens, France.;Natl Inst Chem, Hajdrihova 19, Ljubljana 1000, Slovenia.;Univ Ljubljana, FKKT, Vecna Pot 113, Ljubljana 1000, Slovenia.
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- Hermansson, Kersti, Professor (author)
- Uppsala universitet,Strukturkemi
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- Palacin, M. Rosa (author)
- Alistore ERI, Amiens, France.;CSIC, Inst Ciencia Mat Barcelona, ICMAB, Campus UAB, Bellaterra 08193, Catalonia, Spain.
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- Stein, Helge S. (author)
- Helmholtz Inst UIm, Helmholtzstr 11, D-89081 Ulm, Germany.;Karlsruhe Inst Technol, Inst Phys Chem, Fritz Haber Weg 2, D-76131 Karlsruhe, Germany.
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- Vegge, Tejs (author)
- Dept Energy Convers & Storage, Bldg 301, DK-2800 Lyngby, Denmark.;Alistore ERI, Amiens, France.
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Dept Energy Convers & Storage, Bldg 301, DK-2800 Lyngby, Denmark Vrije Univ Brussel, Battery Innovat Ctr, MOBI Res Grp, Pl Laan 2, B-1050 Brussels, Belgium. (creator_code:org_t)
- 2021-11-23
- 2022
- English.
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In: Advanced Energy Materials. - : John Wiley & Sons. - 1614-6832 .- 1614-6840. ; 12:17
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Abstract
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- BATTERY 2030+ targets the development of a chemistry neutral platform for accelerating the development of new sustainable high-performance batteries. Here, a description is given of how the AI-assisted toolkits and methodologies developed in BATTERY 2030+ can be transferred and applied to representative examples of future battery chemistries, materials, and concepts. This perspective highlights some of the main scientific and technological challenges facing emerging low-technology readiness level (TRL) battery chemistries and concepts, and specifically how the AI-assisted toolkit developed within BIG-MAP and other BATTERY 2030+ projects can be applied to resolve these. The methodological perspectives and challenges in areas like predictive long time- and length-scale simulations of multi-species systems, dynamic processes at battery interfaces, deep learned multi-scaling and explainable AI, as well as AI-assisted materials characterization, self-driving labs, closed-loop optimization, and AI for advanced sensing and self-healing are introduced. A description is given of tools and modules can be transferred to be applied to a select set of emerging low-TRL battery chemistries and concepts covering multivalent anodes, metal-sulfur/oxygen systems, non-crystalline, nano-structured and disordered systems, organic battery materials, and bulk vs. interface-limited batteries.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
Keyword
- autonomous discovery
- batteries
- explainable AI
- interface dynamics
- multi-sourced multi-scaling
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- ref (subject category)
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