Machine learning approaches to the configuration energies and chemisorption models in solids

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dc.contributor.authorJung, Yousungko
dc.date.accessioned2018-01-22T02:37:41Z-
dc.date.available2018-01-22T02:37:41Z-
dc.date.created2017-12-27-
dc.date.issued2017-05-30-
dc.identifier.citationMachine Learning for Energy Materials Discovery-
dc.identifier.urihttp://hdl.handle.net/10203/237526-
dc.languageEnglish-
dc.publisherMIT-
dc.titleMachine learning approaches to the configuration energies and chemisorption models in solids-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameMachine Learning for Energy Materials Discovery-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSamberg Conference Center, MIT-
dc.contributor.localauthorJung, Yousung-
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EEW-Conference Papers(학술회의논문)
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