37 citations · 42 across the 3 of their papers we have counts for
3 papers
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…
cond-mat.mtrl-sci2021★ 37 cited
Machine learning aided materials design platform for predicting the mechanical properties of Na-ion solid-state electrolytes
Junho Jo, Eunseong Choi, Minseon Kim +1
Na-ion solid-state electrolytes (Na-SSE) exhibit high potential for electrical energy storage owing to their high energy densities and low manufacturing cost. However, their mechan…
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…