Open AccessMachine learning Frenkel Hamiltonian parameters to accelerate simulations of exciton dynamics
Author(s) -
Ardavan Farahvash,
CheeKong Lee,
Qiming Sun,
Liang Shi,
Adam P. Willard
Publication year - 2020
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 - 10.1063/5.0016009
Subject(s) - statistical physics , excited state , hamiltonian (control theory) , intermolecular force , excitation , exciton , coupling (piping) , physics , coulomb , computer science , molecule , quantum mechanics , materials science , mathematics , mathematical optimization , metallurgy , electron