activity
20182026
most citedA one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration

10 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Analytical two-pulse control of universal single-qubit gates in rotational ultracold NaCs molecules

Qi Chen, Hao-Xuan Luo, Jin-Kang Guo +3

Complex control protocols and sensitivity to experimental imperfections have limited the practical implementation of quantum gate operations. Here, we present an analytical framewo…

physics.flu-dyn2026

Geometry-controlled heat transport in differentially heated cavity through the lens of DNS and resolvent analysis

Krishan Chand, Michael Quan, Alberto Padovan +1

We perform direct numerical simulations (DNS) and resolvent analysis of natural convection in a differentially heated cavity (DHC) at Prandtl number , systematically vary…

physics.flu-dyn2022★ 5 cited

Swimming of the midge larva: principles and tricks of locomotion at intermediate Reynolds number

Bowen Jin, Chengfeng Pan, Neng Xia +4

At the millimeter scale and in the intermediate Reynolds number (Re) regime, the midge and mosquito larvae can reach swimming speeds of more than one body length per cycle performi…

physics.flu-dyn2021★ 10 cited

A one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration

Zheng Li, Ye Chen, Siyuan Chang +2

We describe a one-dimensional (1D) unsteady and viscous flow model that is derived from the momentum and mass conservation equations, and to enhance this physics-based model, we us…

physics.flu-dyn2018★ 2 cited

How fish power swimming: a 3D computational fluid dynamics study

Tingyu Ming, Bowen Jin, Jialei Song +3

In undulatory swimming of fish, muscles contract sequentially along the body to generate a bending wave that pushes against the water and produces thrust. Here, we use a 3D computa…