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physics.flu-dyn2026

Data-driven modeling and decomposition for nanoscale liquid-film dynamics: Application to superspreading nanofluid droplets

Kai Fukami, Eita Shoji

Understanding ultrathin liquid-film dynamics is crucial for unraveling complex interfacial phenomena, yet deriving governing equations directly from experimental observations remai…

physics.flu-dyn2026

Extraction of slip velocity in NEMD Couette flow systems using frictional dissipation

Hiroki Kusudo, Yasutaka Yamaguchi, Gota Kikugawa

Velocity slip at the solid--fluid (SF) interface plays a key role in fluid transport at the nanoscale, and the SF friction coefficient has been extensively studied because it indic…

physics.flu-dyn20262 cited

Convolutional causal learning for aerodynamic flows

Ryo Koshikawa, Ryo Araki, Qiong Liu +1

This study aims to capture aerodynamic causality from snapshot data with a time-varying mode decomposition technique referred to as information-theoretic machine learning. The curr…

physics.flu-dyn20261 cited

Self-organised structures in mixed active-passive suspensions due to hydrodynamic interactions

Alexander Chamolly, Takuji Ishikawa

Microswimmers in suspension exhibit collective swimming behaviour, forming various self-organised structures including ordered, aggregated, and turbulent-like structures. When mixe…

physics.flu-dyn2026

Triangular instability of a strained Batchelor vortex

A. S. P. Ayapilla, Y. Hattori, S. Le Dizès

We investigate the triangular instability of a Batchelor vortex subjected to a stationary triangular strain field generated by three satellite vortices, in the presence of weak axi…