Hui Xu
Cited by
Cited by
Nektar++: An open-source spectral/hp element framework
CD Cantwell, D Moxey, A Comerford, A Bolis, G Rocco, G Mengaldo, ...
Computer physics communications 192, 205-219, 2015
Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods
D Moxey, CD Cantwell, Y Bao, A Cassinelli, G Castiglioni, S Chun, E Juda, ...
Computer Physics Communications 249, 107110, 2020
Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization
J Rabault, F Ren, W Zhang, H Tang, H Xu
Journal of Hydrodynamics 32, 234-246, 2020
Spectral/hp element methods: Recent developments, applications, and perspectives
H Xu, CD Cantwell, C Monteserin, C Eskilsson, AP Engsig-Karup, ...
Journal of Hydrodynamics 30, 1-22, 2018
Optimal low-dispersion low-dissipation LBM schemes for computational aeroacoustics
H Xu, P Sagaut
Journal of Computational Physics 230 (13), 5353-5382, 2011
Evaluation of the coupling scheme of FVM and LBM for fluid flows around complex geometries
HB Luan, H Xu, L Chen, DL Sun, YL He, WQ Tao
International journal of heat and mass transfer 54 (9-10), 1975-1985, 2011
Active flow control with rotating cylinders by an artificial neural network trained by deep reinforcement learning
H Xu, W Zhang, J Deng, J Rabault
Journal of Hydrodynamics 32 (2), 254-258, 2020
Some iterative finite element methods for steady Navier–Stokes equations with different viscosities
H Xu, Y He
Journal of Computational Physics 232 (1), 136-152, 2013
Explore missing flow dynamics by physics-informed deep learning: The parameterized governing systems
H Xu, W Zhang, Y Wang
Physics of Fluids 33 (9), 2021
Numerical illustrations of the coupling between the lattice Boltzmann method and finite-type macro-numerical methods
HB Luan, H Xu, L Chen, DL Sun, WQ Tao
Numerical Heat Transfer, Part B: Fundamentals 57 (2), 147-171, 2010
Analysis of the absorbing layers for the weakly-compressible lattice Boltzmann methods
H Xu, P Sagaut
Journal of Computational Physics 245, 14-42, 2013
Two‐level Newton iterative method for the 2D/3D steady Navier‐Stokes equations
Y He, Y Zhang, Y Shang, H Xu
Numerical Methods for Partial Differential Equations 28 (5), 1620-1642, 2012
Sensitivity analysis and determination of free relaxation parameters for the weakly-compressible MRT–LBM schemes
H Xu, O Malaspinas, P Sagaut
Journal of Computational Physics 231 (21), 7335-7367, 2012
Destabilisation and modification of Tollmien–Schlichting disturbances by a three-dimensional surface indentation
H Xu, SM Mughal, ER Gowree, CJ Atkin, SJ Sherwin
Journal of Fluid Mechanics 819, 592-620, 2017
Coupling of finite volume method and thermal lattice Boltzmann method and its application to natural convection
HB Luan, H Xu, L Chen, YL Feng, YL He, WQ Tao
International Journal for Numerical Methods in Fluids 70 (2), 200-221, 2012
A multi-level stabilized finite element method for the stationary Navier–Stokes equations
J Li, Y He, H Xu
Computer methods in applied mechanics and engineering 196 (29-30), 2852-2862, 2007
The behaviour of Tollmien–Schlichting waves undergoing small-scale localised distortions
H Xu, SJ Sherwin, P Hall, X Wu
Journal of Fluid Mechanics 792, 499-525, 2016
Flow instabilities in the wake of a circular cylinder with parallel dual splitter plates attached
R Wang, Y Bao, D Zhou, H Zhu, H Ping, Z Han, D Serson, H Xu
Journal of Fluid Mechanics 874, 299-338, 2019
A lifting relation from macroscopic variables to mesoscopic variables in lattice Boltzmann method: Derivation, numerical assessments and coupling computations validation
H Xu, H Luan, Y He, W Tao
Computers & fluids 54, 92-104, 2012
Physics-informed neural networks combined with polynomial interpolation to solve nonlinear partial differential equations
S Tang, X Feng, W Wu, H Xu
Computers & Mathematics with Applications 132, 48-62, 2023
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