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The Journal of Chemical Physics|July 17, 2020
Modeling the dielectric constants of crystals using machine learningKazuki Morita, Daniel W Davies, Keith T Butler, et al.Faraday Discussions|July 21, 2018
Materials discovery by chemical analogy: role of oxidation states in structure predictionDaniel W Davies, Keith T Butler, Olexandr Isayev, et al.Nature|July 27, 2018
Machine learning for molecular and materials scienceKeith T Butler, Daniel W Davies, Hugh Cartwright, et al.Accounts of Chemical Research|September 27, 2013
Prediction of electron energies in metal oxidesAron Walsh, Keith T ButlerChemical Science|April 21, 2018
Computer-aided design of metal chalcohalide semiconductors: from chemical composition to crystal structureDaniel W Davies, Keith T Butler, Jonathan M Skelton, et al.The Journal of Physical Chemistry Letters|December 2, 2015
Assessment of Hybrid Organic-Inorganic Antimony Sulfides for Earth-Abundant Photovoltaic ApplicationsRuo Xi Yang, Keith T Butler, Aron WalshACS Applied Materials & Interfaces|December 2, 2014
Electronic structure modulation of metal-organic frameworks for hybrid devicesKeith T Butler, Christopher H Hendon, Aron WalshFaraday Discussions|June 17, 2017
Designing porous electronic thin-film devices: band offsets and heteroepitaxyKeith T Butler, Christopher H Hendon, Aron WalshJournal of the American Chemical Society|January 23, 2014
Electronic chemical potentials of porous metal-organic frameworksKeith T Butler, Christopher H Hendon, Aron WalshChem|October 30, 2016
Computational Screening of All Stoichiometric Inorganic MaterialsDaniel W Davies, Keith T Butler, Adam J Jackson, et al.Pageof 27