2 papers
cond-mat.soft2025
Neural-Network-Assisted Boltzmann Approach for Dilute Microswimmer Suspensions
Haruki Hayano, Akira Furukawa, Kang Kim
We introduce a neural-network-assisted Boltzmann framework that learns the binary-collision map of microswimmers directly from data and uses it to evaluate collision integrals effi…
physics.comp-ph2025
Benchmarking thermostat algorithms in molecular dynamics simulations of a binary Lennard-Jones glass-former model
Kumpei Shiraishi, Emi Minamitani, Kang Kim
A systematic comparison was carried out to assess the influence of representative thermostat methods in constant-temperature molecular dynamics simulations. The thermostat schemes…