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- Q96165553 description "article scientifique publié en 2020" @default.
- Q96165553 description "artículu científicu espublizáu en xunu de 2020" @default.
- Q96165553 description "im Juni 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q96165553 description "scientific article published on 05 June 2020" @default.
- Q96165553 description "wetenschappelijk artikel" @default.
- Q96165553 description "наукова стаття, опублікована 5 червня 2020" @default.
- Q96165553 name "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 name "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 type Item @default.
- Q96165553 label "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 label "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 prefLabel "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 prefLabel "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 P1433 Q96165553-665E808A-4560-4E72-8FCB-1E14889EAE04 @default.
- Q96165553 P1476 Q96165553-7EC4D5B4-219A-459E-930B-CE4540E11BDF @default.
- Q96165553 P2093 Q96165553-1E38D9CA-F8AC-40C5-9987-DFE1AE6C4CEB @default.
- Q96165553 P2093 Q96165553-261D864C-D13E-49F9-8C28-516674F60738 @default.
- Q96165553 P31 Q96165553-5A514494-531B-4660-AA27-9A70970CC125 @default.
- Q96165553 P356 Q96165553-AD7CF306-3929-4709-AD04-23B0ACBA827C @default.
- Q96165553 P50 Q96165553-FECECBD1-20CC-45EB-A985-DE703C027897 @default.
- Q96165553 P577 Q96165553-180656CD-A108-4C1E-A9AC-271220116A1C @default.
- Q96165553 P698 Q96165553-57673166-7266-4CF7-B8CD-C96589821392 @default.
- Q96165553 P921 Q96165553-04C09BE2-3D53-4D1B-AF9A-953ED4BCEBBD @default.
- Q96165553 P921 Q96165553-395F785F-0405-4848-8C8B-A20A6ED676BB @default.
- Q96165553 P356 ACS.JCTC.0C00217 @default.
- Q96165553 P698 32502350 @default.
- Q96165553 P1433 Q1768377 @default.
- Q96165553 P1476 "Incorporating Electronic Information into Machine Learning Potential Energy Surfaces via Approaching the Ground-State Electronic Energy as a Function of Atom-Based Electronic Populations" @default.
- Q96165553 P2093 "David W Small" @default.
- Q96165553 P2093 "Xiaowei Xie" @default.
- Q96165553 P31 Q13442814 @default.
- Q96165553 P356 "10.1021/ACS.JCTC.0C00217" @default.
- Q96165553 P50 Q58678819 @default.
- Q96165553 P577 "2020-06-05T00:00:00Z" @default.
- Q96165553 P698 "32502350" @default.
- Q96165553 P921 Q155640 @default.
- Q96165553 P921 Q2539 @default.