Open AccessThe Structural Information Filtered Features Potential for Machine Learning calculations of energies and forces of atomic systems.
Author(s) -
Hernandez Zeledon,
Jorge Arturo
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 , space (punctuation) , tensor (intrinsic definition) , support vector machine , process (computing) , pattern recognition (psychology) , mechanical engineering , engineering , mathematics , geometry , philosophy , linguistics , combinatorics , operating system