![](http://www.damtp.cam.ac.uk/files/styles/portrait/public/portraits/lz447.png?itok=8F2y5Mmh)
Lu Zhu is a Research Associate at DAMTP, University of Cambridge. His current focus of research is the numerical modeling of stratified shear flows in an inclined duct.
Publications
Long-wave instabilities of sloping stratified exchange flows
– Journal of Fluid Mechanics
(2024)
983,
a12
(doi: 10.1017/jfm.2024.96)
New insights into experimental stratified flows obtained through physics-informed neural networks
– Journal of Fluid Mechanics
(2024)
981,
r1
(doi: 10.1017/jfm.2024.49)
Geometry of stratified turbulent mixing: Local alignment of the density gradient with rotation, shear and viscous dissipation
– Journal of Fluid Mechanics
(2023)
977,
r5
(doi: 10.1017/jfm.2023.833)
Stratified inclined duct: Two-layer hydraulics and instabilities
– Journal of Fluid Mechanics
(2023)
977,
a25
(doi: 10.1017/jfm.2023.871)
Bagged stepwise cluster analysis for probabilistic river flow prediction
– Journal of Hydrology
(2023)
625,
129995
Stratified inclined duct: direct numerical simulations
– Journal of Fluid Mechanics
(2023)
969,
a20
(doi: 10.1017/jfm.2023.502)
A novel linear hybrid model predictive control design: application to a fed batch crystallization process
– Digital Chemical Engineering
(2022)
3,
100033
(doi: 10.1016/j.dche.2022.100033)
Real-time prediction of river chloride concentration using ensemble learning
– Environmental pollution (Barking, Essex : 1987)
(2021)
291,
118116
(doi: 10.1016/j.envpol.2021.118116)
Nonasymptotic elastoinertial turbulence for asymptotic drag reduction
– Physical Review Fluids
(2021)
6,
014601
Inertia-driven and elastoinertial viscoelastic turbulent channel flow simulated with a hybrid pseudo-spectral/finite-difference numerical scheme
– Journal of Non-Newtonian Fluid Mechanics
(2020)
286,
104410
(doi: 10.1016/j.jnnfm.2020.104410)
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