Machine Learning Approaches to the Configuration Energies and Chemisorption Models in Solids

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dc.contributor.authorJung, Yousungko
dc.date.accessioned2018-01-22T02:48:24Z-
dc.date.available2018-01-22T02:48:24Z-
dc.date.created2017-12-27-
dc.date.issued2017-02-26-
dc.identifier.citation2017 Symposium for the Promotion of Applied Research Collaboration in Asia-
dc.identifier.urihttp://hdl.handle.net/10203/237627-
dc.languageEnglish-
dc.publisherAsia Pacific Society for Materials Science (APSMR)-
dc.titleMachine Learning Approaches to the Configuration Energies and Chemisorption Models in Solids-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2017 Symposium for the Promotion of Applied Research Collaboration in Asia-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationOkinawa, Japan-
dc.contributor.localauthorJung, Yousung-
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EEW-Conference Papers(학술회의논문)
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