Open AccessThe Structural Information Filtered Features Potential for Machine Learning calculations of energies and forces of atomic systems.
Author(s) -
Jorge Arturo Hernandez Zeledon
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.33915/etd.3790
Subject(s) - feature (linguistics) , artificial intelligence , feature vector , computer science , rank (graph theory) , constraint (computer aided design) , machine learning , algorithm , tensor (intrinsic definition) , space (punctuation) , process (computing) , pattern recognition (psychology) , mathematics , mechanical engineering , engineering , geometry , philosophy , linguistics , combinatorics , operating system
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