most citedCorrelation between ordering and shear thinning in confined liquids

8 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.soft2023

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…

cond-mat.soft2022★ 5 cited

Wetting hysteresis induces effective unidirectional water transport through a fluctuating nanochannel

Noriyoshi Arai, Eiji Yamamoto, Takahiro Koishi +3

We propose a water pump that actively transports water molecules through nanochannels. Spatially asymmetric thermal fluctuations imposed on the channel radius cause unidirectional…

math.NA2022★ 1 cited

A stochastic Hamiltonian formulation applied to dissipative particle dynamics

Linyu Peng, Noriyoshi Arai, Kenji Yasuoka

In this paper, a stochastic Hamiltonian formulation (SHF) is proposed and applied to dissipative particle dynamics (DPD) simulations. As an extension of Hamiltonian dynamics to sto…

cond-mat.soft2022★ 8 cited

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…

physics.chem-ph2022★ 1 cited

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…