Open AccessNeural network based quasi-diabatic Hamiltonians with symmetry adaptation and a correct description of conical intersections
Author(s) -
Yafu Guan,
Hua Guo,
David R. Yarkony
Publication year - 2019
Publication title -
journal of chemical physics online/the journal of chemical physics/journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.5099106
Subject(s) - diabatic , adiabatic process , permutation (music) , symmetry (geometry) , invariant (physics) , artificial neural network , degeneracy (biology) , physics , symmetrization , conical surface , theoretical physics , pure mathematics , mathematics , quantum mechanics , mathematical physics , computer science , combinatorics , geometry , artificial intelligence , bioinformatics , acoustics , biology