most citedPhysics-informed neural network for modelling force and torque fluctuations in a random array of bidisperse spheres

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.optics2023

Soliton frequency comb generation in a low Q microcavity coupled to a gain microcavity

Zihao Cheng, Dongmei Huang, Feng Li +2

Soliton frequency comb generation in coupled nonlinear microcavities is attractive because a coupled microcavity offers more flexibility and possibilities compared to a single nonl…

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…