4 citations · 6 across the 3 of their papers we have counts for
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physics.flu-dyn2024★ 4 cited
Efficient methods for particle-resolved direct numerical simulation
Markus Uhlmann, Jos Derksen, Anthony Wachs +2
In the present chapter we focus on the fundamentals of non-grid-conforming numerical approaches to simulating particulate flows, implementation issues and grid convergence vs. avai…
physics.flu-dyn2023
Motion and deformation of capsules flowing through a corner in the inertial and non-inertial regimes
Damien P. Huet, Antoine Morente, Guodong Gai +1
We investigate the inertial and non-inertial dynamics of three-dimensional elastic capsules flowing through a square channel presenting a sharp corner. Our study analyzes the traje…
physics.flu-dyn2023★ 2 cited
Physics-informed neural network for modelling force and torque fluctuations in a random array of bidisperse spheres
Zihao Cheng, Anthony Wachs
We present a physics-informed neural network (PINN) model to predict the hydrodynamic force and torque fluctuations in a random array of stationary bidisperse spheres. The PINN mod…