High Throughput Screening of NanoCatalysts for PEMFC/AEMFC and Machine Learning Prediction of Chemisorption

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 89
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKwon, Soonhoko
dc.contributor.authorChoi, Jung Wooko
dc.contributor.authorLee, Hyuck Moko
dc.date.accessioned2023-08-10T05:00:11Z-
dc.date.available2023-08-10T05:00:11Z-
dc.date.created2023-05-23-
dc.date.issued2020-02-24-
dc.identifier.citationTMS 2020 Annual Meeting & Exhibition-
dc.identifier.urihttp://hdl.handle.net/10203/311385-
dc.languageEnglish-
dc.publisherThe Minerals, Metals & Materials Society-
dc.titleHigh Throughput Screening of NanoCatalysts for PEMFC/AEMFC and Machine Learning Prediction of Chemisorption-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameTMS 2020 Annual Meeting & Exhibition-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSan Diego, CA-
dc.contributor.localauthorLee, Hyuck Mo-
dc.contributor.nonIdAuthorKwon, Soonho-
dc.contributor.nonIdAuthorChoi, Jung Woo-
Appears in Collection
MS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0