His primary scientific interests are in Lattice Boltzmann methods, Statistical physics, Porous medium, HPP model and Mechanics. His Lattice Boltzmann methods research includes themes of Flow, Wetting, Computational physics, Boltzmann equation and Numerical stability. His Statistical physics study incorporates themes from Adhesion and Kinetic theory of gases.
Haibo Huang interconnects Relaxation, Forcing, Contact angle, Equation of state and Thermodynamic equilibrium in the investigation of issues within Kinetic theory of gases. His work carried out in the field of Porous medium brings together such families of science as Permeability, Hydraulic head, Viscosity, Thermodynamics and Capillary number. His study in the fields of Reynolds number under the domain of Mechanics overlaps with other disciplines such as Hydraulic conductivity.
Haibo Huang mostly deals with Mechanics, Lattice Boltzmann methods, Classical mechanics, Fermentation and Food science. The study incorporates disciplines such as Wetting and Drop in addition to Mechanics. His Lattice Boltzmann methods research incorporates elements of Flow, Boundary value problem, HPP model, Statistical physics and Porous medium.
Haibo Huang combines subjects such as Computational physics and Equation of state with his study of HPP model. Haibo Huang has included themes like Viscous liquid and Bubble in his Classical mechanics study. His Fermentation research incorporates themes from Ethanol, Butanol, Biofuel and Food waste.
Mechanics, Photocatalysis, Food science, Fermentation and Composite material are his primary areas of study. Haibo Huang studies Hagen–Poiseuille equation which is a part of Mechanics. In the subject of general Food science, his work in Pasteurization is often linked to White, Litopenaeus and Fish meal, thereby combining diverse domains of study.
His Fermentation study combines topics in areas such as Sugar, Butanol and Food waste. His work on Tribology, Contact area and Polymer as part of his general Composite material study is frequently connected to Interaction energy and Short life, thereby bridging the divide between different branches of science. His Moment study integrates concerns from other disciplines, such as Trailing edge, Jet, Numerical analysis and Reynolds number.
His primary areas of investigation include Photocatalysis, Solid solution, Sulfur, Density functional theory and Nanocrystal. Haibo Huang integrates many fields in his works, including Photocatalysis, Quantum efficiency, Surface plasmon resonance, Selectivity, Visible spectrum and Semiconductor. His research in Solid solution intersects with topics in Nanorod and Nanomaterials.
His Density functional theory research incorporates elements of Crystal structure, Crystal twinning and Sulfide.
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Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: A review
Haibo Huang;Haiyan Yu;Huirong Xu;Yibin Ying.
Journal of Food Engineering (2008)
Multiphase Lattice Boltzmann Methods: Theory and Application
Haibo Huang;Michael C. Sukop;Xi-Yun Lu.
(2015)
Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models.
Haibo Huang;Daniel T. Thorne;Marcel G. Schaap;Michael C. Sukop.
Physical Review E (2007)
Multiphase Lattice Boltzmann Methods: Theory and Application: Huang/Multiphase Lattice Boltzmann Methods: Theory and Application
Haibo Huang;Michael C. Sukop;Xi-Yun Lu.
(2015)
Forcing term in single-phase and Shan-Chen-type multiphase lattice Boltzmann models.
Haibo Huang;Haibo Huang;Manfred Krafczyk;Xiyun Lu.
Physical Review E (2011)
Evaluation of three lattice Boltzmann models for multiphase flows in porous media
Haibo Huang;Lei Wang;Xi-yun Lu.
Computers & Mathematics With Applications (2011)
Shan-and-Chen-type multiphase lattice Boltzmann study of viscous coupling effects for two-phase flow in porous media
Haibo Huang;Zhitao Li;Shuaishuai Liu;Xi-yun Lu.
International Journal for Numerical Methods in Fluids (2009)
Relative permeabilities and coupling effects in steady-state gas-liquid flow in porous media: A lattice Boltzmann study
Haibo Huang;Xi-yun Lu.
Physics of Fluids (2009)
Multiphase lattice Boltzmann flux solver for incompressible multiphase flows with large density ratio
Y. Wang;C. Shu;H.B. Huang;C.J. Teo.
Journal of Computational Physics (2015)
Deep learning methods for super-resolution reconstruction of turbulent flows
Bo Liu;Jiupeng Tang;Haibo Huang;Xi-Yun Lu.
Physics of Fluids (2020)
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