8 citations · 20 across the 6 of their papers we have counts for
6 papers
Novel stabilization mechanisms for concentrated emulsions with tunable morphology via amphiphilic polymer-grafted nanoparticles
Kojiro Suzuki, Yusei Kobayashi, Takashi Yamazaki +2
This study explores the stabilization mechanisms of concentrated emulsions with tunable morphology using amphiphilic polymer-grafted nanoparticles (PGNPs). We employ coarse-grained…
Structure and dynamics of amphiphilic patchy cubes in a nanoslit under shear
Takahiro Ikeda, Yusei Kobayashi, Masashi Yamakawa
Patchy nanocubes are intriguing materials with simple shapes and space-filling and multidirectional bonding properties. Previous studies have revealed various mesoscopic structures…
Thermal transport of confined water molecules in quasi-one-dimensional nanotubes
Shun Imamura, Yusei Kobayashi, Eiji Yamamoto
Dimensions and molecular structure play pivotal roles in the principle of heat conduction. The dimensional characteristics of solution within nanoscale systems depend on the degree…
Structure Formation of Amphiphilic Nanocubes at Rest and Under Shear
Takahiro Yokoyama, Yusei Kobayashi, Noriyoshi Arai +1
We investigate the self-assembly of amphiphilic nanocubes under rest and shear using molecular dynamics (MD) simulations and kinetic Monte Carlo (KMC) calculations. These particles…
Correlation between ordering and shear thinning in confined liquids
Yusei Kobayashi, Noriyoshi Arai, Kenji Yasuoka
Despite the extensive research that has been conducted for decades on the behavior of confined liquids, detailed knowledge of this phenomenon, particularly in the mixed/boundary lu…
Prediction of transport property via machine learning molecular movements
Ikki Yasuda, Yusei Kobayashi, Katsuhiro Endo +5
Molecular dynamics (MD) simulations are increasingly being combined with machine learning (ML) to predict material properties. The molecular configurations obtained from MD are rep…