Open AccessPredicting polarizabilities of silicon clusters using local chemical environments
Author(s) -
Mario G. Zauchner,
Stefano Dal Forno,
Gábor Cśanyi,
Andrew P. Horsfield,
Johannes Lischner
Publication year - 2021
Publication title -
machine learning: science and technology
Language(s) - English
Resource type - Journals
ISSN - 2632-2153
DOI - 10.1088/2632-2153/ac2cfe
Subject(s) - cluster (spacecraft) , silicon , scaling , limit (mathematics) , construct (python library) , statistical physics , computer science , coupled cluster , chemical physics , machine learning , molecular physics , materials science , computational science , physics , molecule , mathematics , quantum mechanics , optoelectronics , geometry , programming language , mathematical analysis