activity
20242026
most citedGraph neural network-based structural classification of glass-forming liquids and its interpretation via self-attention mechanism

7 citations · 16 across the 11 of their papers we have counts for

collaborators

15 papers

cond-mat.soft2026

Machine learning evaluation of structural descriptors for supercooled water

Kohei Yoshikawa, Kokoro Shikata, Kang Kim +1

The anomalous behavior of liquid water is widely associated with a liquid-liquid phase transition between high- and low-density states in the supercooled regime. At the microscopic…

physics.chem-ph2026

Deep learning of committor and explainable artificial intelligence analysis for identifying reaction coordinates

Toshifumi Mori, Kei-ichi Okazaki, Kang Kim +1

In complex molecular systems, the reaction coordinate (RC) that characterizes transition pathways is essential to understand underlying molecular mechanisms. This review surveys a…

cond-mat.soft20262 cited

Classification of interfacial water governed by water-polymer interactions in hydrated polymers: A molecular dynamics simulation study of ethylene-based and acrylate polymers

Atsuki Hashimoto, Kokoro Shikata, Kang Kim +1

We perform molecular dynamics simulations to investigate hydration structures and dynamics in seven water-containing polymers: PVA, PHEA, PHEMA, PBA, PMEMA, PEG, and PMEA. The anal…

physics.chem-ph2026

IEPDYN: Integral-equation formalism of population dynamics

Kento Kasahara, Ryo Okabe, Chia-en A. Chang +2

We propose the integral-equation formalism of population dynamics (IEPDYN) to describe the population dynamics of distinct configurational states. According to classical reaction d…

physics.chem-ph20251 cited

Deep learning of committor for ion dissociation and interpretable analysis of solvent effects using atom-centered symmetry functions

Kenji Okada, Kazushi Okada, Kei-ichi Okazaki +3

The association and dissociation of ion pairs in water are fundamental to physical chemistry, yet their reaction coordinates are complex, involving not only interionic distance but…

cond-mat.soft2025

Elucidation of the Correlation between Molecular Conformation and Shear Viscosity of Polymer Melts under Steady-State Shear Flow

Yuhi Sakamaki, Shota Goto, Kang Kim +1

The rheological behavior of polymer melts is strongly influenced by parameters such as chain length, chain stiffness, and architecture. In particular, shear thinning, characterized…