most citedMachine learning aided materials design platform for predicting the mechanical properties of Na-ion solid-state electrolytes

37 citations · 42 across the 3 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

2 papers · 1 filter

physics.chem-ph2025★ 3 cited

System-Bath Modeling in Vibrational Spectroscopy via Molecular Dynamics: A Machine Learning Framework for Hierarchical Equations of Motion (HEOM)

Kwanghee Park, Ju-Yeon Jo, Yoshitaka Tanimura

Molecular vibrations in solutions, especially OH stretching and bending in water, drive ultrafast energy relaxation and dephasing in chemical and biological systems. We present a m…

physics.chem-ph2021★ 2 cited

Full molecular dynamics simulations of molecular liquids for single-beam spectrally controlled two-dimensional Raman spectroscopy

Ju-Yeon Jo, Yoshitaka Tanimura

Single-beam spectrally controlled (SBSC) two-dimensional (2D) Raman spectroscopy is a unique 2D vibrational measurement technique utilizing trains of short pulses that are generate…