Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries-Reference-Cited by-同舟云学术

Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries

Published:2021-11-23 Issue: Volume: Page:2102698
ISSN:1614-6832
Container-title:Advanced Energy Materials
language:en
Short-container-title:Advanced Energy Materials

Author:

Bhowmik Arghya¹,Berecibar Maitane²,Casas‐Cabanas Montse³⁴⁵⁶,Csanyi Gabor⁷,Dominko Robert⁶⁸⁹,Hermansson Kersti¹⁰,Palacin M. Rosa⁶¹¹,Stein Helge S.¹²¹³,Vegge Tejs¹⁶^ORCID

Affiliation:

1. Department of Energy Conversion and Storage Anker Engelunds Vej Building 301 Kgs Lyngby DK‐2800 Denmark

2. Battery Innovation Center MOBI Research Group Vrije Universiteit Brussel Pleinlaan 2 Brussels 1050 Belgium

3. Center for Cooperative Research on Alternative Energies (CIC energiGUNE) Basque

4. Research and Technology Alliance (BRTA) Parque Tecnológico de Alava Albert Einstein 48 Vitoria‐Gasteiz 01510 Spain

5. IKERBASQUE Basque Foundation for Science María Díaz de Haro 3 Bilbao 48013 Spain

6. Alistore ERI Amiens France

7. Engineering Laboratory University of Cambridge Trumpington Street Cambridge CB2 1PZ UK

8. National institute of Chemistry Hajdrihova 19 Ljubljana 1000 Slovenia

9. FKKT University of Ljubljana Večna pot 113 Ljubljana 1000 Slovenia

10. Department of Chemistry‐Ångström Box 531 Uppsala S‐75121 Sweden

11. Institut de Ciencia de Materials de Barcelona ICMAB‐CSIC Campus UAB Bellaterra Catalonia 08193 Spain

12. Helmholtz Institute Ulm Helmholtzstr. 11 89081 Ulm Germany

13. Institute for Physical Chemistry Karlsruhe Institute of Technology Fritz‐Haber Weg 2 76131 Karlsruhe Germany

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Deutsche Forschungsgemeinschaft

H2020 European Research Council

Publisher

Wiley

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.202102698

Reference217 articles.

1. Practical High-Throughput Experimentation for Chemists

2. Strukturuntersuchung von Mehrstoffsystemen durch kınematische Elektronenbeugung

3. Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing Approaches

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