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신승재

Shin, Seung-Jae
THeoretical Energy Materials Modelling for Engineering & Science
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dc.citation.number 4 -
dc.citation.startPage 041501 -
dc.citation.title JOURNAL OF PHYSICS-ENERGY -
dc.citation.volume 5 -
dc.contributor.author Zhang, Chao -
dc.contributor.author Cheng, Jun -
dc.contributor.author Chen, Yiming -
dc.contributor.author Chan, Maria K. Y. -
dc.contributor.author Cai, Qiong -
dc.contributor.author Carvalho, Rodrigo P. -
dc.contributor.author Marchiori, Cleber F. N. -
dc.contributor.author Brandell, Daniel -
dc.contributor.author Araujo, C. Moyses -
dc.contributor.author Chen, Ming -
dc.contributor.author Ji, Xiangyu -
dc.contributor.author Feng, Guang -
dc.contributor.author Goloviznina, Kateryna -
dc.contributor.author Serva, Alessandra -
dc.contributor.author Salanne, Mathieu -
dc.contributor.author Mandai, Toshihiko -
dc.contributor.author Hosaka, Tomooki -
dc.contributor.author Alhanash, Mirna -
dc.contributor.author Johansson, Patrik -
dc.contributor.author Qiu, Yun-Ze -
dc.contributor.author Xiao, Hai -
dc.contributor.author Eikerling, Michael -
dc.contributor.author Jinnouchi, Ryosuke -
dc.contributor.author Melander, Marko M. -
dc.contributor.author Kastlunger, Georg -
dc.contributor.author Bouzid, Assil -
dc.contributor.author Pasquarello, Alfredo -
dc.contributor.author Shin, Seung-Jae -
dc.contributor.author Kim, Minho M. -
dc.contributor.author Kim, Hyungjun -
dc.contributor.author Schwarz, Kathleen -
dc.contributor.author Sundararaman, Ravishankar -
dc.date.accessioned 2024-10-07T14:05:07Z -
dc.date.available 2024-10-07T14:05:07Z -
dc.date.created 2024-10-07 -
dc.date.issued 2023-10 -
dc.description.abstract New materials for electrochemical energy storage and conversion are the key to the electrification and sustainable development of our modern societies. Molecular modelling based on the principles of quantum mechanics and statistical mechanics as well as empowered by machine learning techniques can help us to understand, control and design electrochemical energy materials at atomistic precision. Therefore, this roadmap, which is a collection of authoritative opinions, serves as a gateway for both the experts and the beginners to have a quick overview of the current status and corresponding challenges in molecular modelling of electrochemical energy materials for batteries, supercapacitors, CO2 reduction reaction, and fuel cell applications. -
dc.identifier.bibliographicCitation JOURNAL OF PHYSICS-ENERGY, v.5, no.4, pp.041501 -
dc.identifier.doi 10.1088/2515-7655/acfe9b -
dc.identifier.issn 2515-7655 -
dc.identifier.scopusid 2-s2.0-85177181901 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/84007 -
dc.identifier.wosid 001090149100001 -
dc.language 영어 -
dc.publisher IOP Publishing Ltd -
dc.title 2023 Roadmap on molecular modelling of electrochemical energy materials -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Energy & Fuels; Materials Science, Multidisciplinary -
dc.relation.journalResearchArea Energy & Fuels; Materials Science -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor density-functional theory -
dc.subject.keywordAuthor molecular dynamics simulation -
dc.subject.keywordAuthor electrochemical energy storage -
dc.subject.keywordAuthor machine learning -
dc.subject.keywordAuthor electrocatalysis -
dc.subject.keywordAuthor electrochemical interfaces -
dc.subject.keywordPlus DENSITY-FUNCTIONAL THEORY -
dc.subject.keywordPlus ORGANIC ELECTRODE MATERIALS -
dc.subject.keywordPlus SINGLE-ATOM CATALYSTS -
dc.subject.keywordPlus STRUCTURE-PROPERTY RELATIONSHIPS -
dc.subject.keywordPlus DOUBLE-LAYER -
dc.subject.keywordPlus IONIC LIQUIDS -
dc.subject.keywordPlus CO2 REDUCTION -
dc.subject.keywordPlus 1ST-PRINCIPLES SIMULATION -
dc.subject.keywordPlus DYNAMICS SIMULATIONS -
dc.subject.keywordPlus REACTION-MECHANISMS -

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