22 citations · 26 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2026★ 1 cited
sbml4md: A computational platform for System-Bath Modeling via Molecular Dynamics powered by Machine Learning
Kwanghee Park, Seiji Ueno, Yoshitaka Tanimura
We introduce sbml4md, a newly developed algorithm implemented as a software package to extract parameters of multimode anharmonic Brownian (MAB) models from molecular dynamics (MD)…
physics.chem-ph2021★ 3 cited
Modeling and simulating the excited-state dynamics of a system with condensed phases: A machine learning approach
Seiji Ueno, Yoshitaka Tanimura
Simulating the irreversible quantum dynamics of exciton and electron transfer problems poses a nontrivial challenge. Because the irreversibility of the system dynamics is a result…
cond-mat.soft2020★ 22 cited
Modeling intermolecular and intramolecular modes of liquid water using multiple heat baths: Machine learning approach
Seiji Ueno, Yoshitaka Tanimura
The vibrational motion of molecules in dissipative environments, such as solvation and protein molecules, is composed of contributions from both intermolecular and intramolecular m…