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My current interest is in applying the AIRSS method to a range of different materials science problems, focussing mainly on lithium-ion batteries. "Trial and error" plays a large part in the discovery of new materials. From the initial idea, the material must be synthesised and categorised before it can tested which is slow, difficult and expensive. High-throughput computation accelerates this process by suggesting then screening new materials, allowing us to ask "what if?" without the time and expense of manufacturing and categorizing samples. I model Li-ion batteries at the atomic level and try to uncover new materials to increase their capacity.
Research Interests
Papers共 113 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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Matthew L. Evans, Johan Bergsma,Andrius Merkys,Casper W. Andersen, Oskar B. Andersson,Daniel Beltrán,Evgeny Blokhin, Tara M. Boland,Rubén Castañeda Balderas,Kamal Choudhary,Alberto Díaz Díaz, Rodrigo Domínguez García,
Digital Discovery (2024)
Jem Pitcairn, Mario Antonio Ongkiko,Andrea Iliceto, Peter J Speakman,Stuart Calder,Malcolm J Cochran,Joseph A M Paddison,Cheng Liu,Stephen P Argent,Andrew J Morris,Matthew J Cliffe
Namrata Ramesh,Hrishit Banerjee,Jack E. N. Swallow,Erik Björklund, Ava Dean,Pravin Didwal,Michael Fraser,Conor M. E. Phelan, Lijin An, Jasper Singh, Jarrod Lewis,Weixin Song,
crossref(2024)
arXiv (Cornell University)no. 16 (2023)
CHEMICAL SCIENCEno. 43 (2023): 12121-12132
Chemical Scienceno. 5 (2023): 1155-1167
Jouleno. 7 (2023): 1623-1640
AIP ADVANCESno. 5 (2023)
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