Yonghao Zhang spends much of his time researching Lattice Boltzmann methods, Statistical physics, Mechanics, Knudsen number and Boltzmann equation. His Lattice Boltzmann methods course of study focuses on Marangoni effect and Interfacial Force. In Statistical physics, Yonghao Zhang works on issues like Hagen–Poiseuille equation, which are connected to Boltzmann constant, Mass flow and Open-channel flow.
His study on Volumetric flow rate is often connected to Chip as part of broader study in Mechanics. His Knudsen number research includes themes of Slip, Navier–Stokes equations, Mach number and Computer simulation. He interconnects Convection, Contact angle, Classical mechanics, Vortex and Fluid dynamics in the investigation of issues within Wetting.
Yonghao Zhang mostly deals with Mechanics, Lattice Boltzmann methods, Knudsen number, Statistical physics and Boltzmann equation. The concepts of his Mechanics study are interwoven with issues in Boundary value problem, Porous medium and Classical mechanics. His Lattice Boltzmann methods research integrates issues from Surface tension, Capillary number and Breakup.
The various areas that he examines in his Knudsen number study include Slip, Couette flow and Kinetic energy. His Statistical physics research is multidisciplinary, incorporating elements of Rarefaction, Distribution function, Kinetic theory of gases, Navier–Stokes equations and Knudsen layer. The study incorporates disciplines such as Heat flux, Spectral method and Boltzmann constant in addition to Boltzmann equation.
The scientist’s investigation covers issues in Mechanics, Flow, Knudsen number, Applied mathematics and Boltzmann equation. His work on Mechanics deals in particular with Lattice Boltzmann methods and Fluid dynamics. His Lattice Boltzmann methods research incorporates elements of Immersed boundary method, Shear flow and Surface tension.
His research in Flow intersects with topics in Cylinder, Distribution function, Work and Mathematical analysis. The Knudsen number study combines topics in areas such as Mass flow rate, Statistical physics, Reynolds number, Numerical analysis and Kinetic scheme. As a member of one scientific family, Yonghao Zhang mostly works in the field of Boltzmann equation, focusing on Spectral method and, on occasion, Collision frequency.
His primary areas of study are Gravitational wave, Astrophysics, LIGO, Neutron star and Solver. His Gravitational wave research incorporates themes from Gamma-ray burst, Polarization and Extra dimensions. His work deals with themes such as Coincident and Large extra dimension, which intersect with Astrophysics.
Yonghao Zhang has researched Neutron star in several fields, including Parameter space and General relativity. His study explores the link between Solver and topics such as Porous medium that cross with problems in Lattice Boltzmann methods, Mechanics and Countercurrent exchange. His study in Boundary value problem extends to Mechanics with its themes.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Microfluidic DNA amplification - a review
Yonghao Zhang;Pinar Ozdemir.
Analytica Chimica Acta (2009)
Tests of General Relativity with GW170817
B. P. Abbott;R. Abbott;T. D. Abbott;F. Acernese.
Physical Review Letters (2019)
Droplet formation in a T-shaped microfluidic junction
Haihu Liu;Yonghao Zhang.
Journal of Applied Physics (2009)
Lattice Boltzmann simulation of rarefied gas flows in microchannels
Yonghao Zhang;Rongshan Qin;David R. Emerson.
Physical Review E (2005)
Droplet formation in microfluidic cross-junctions
Haihu Liu;Yonghao Zhang.
Physics of Fluids (2011)
Capturing Knudsen layer phenomena using a lattice Boltzmann model.
Yong-Hao Zhang;Xiao-Jun Gu;Robert W. Barber;David R. Emerson.
Physical Review E (2006)
Deterministic numerical solutions of the Boltzmann equation using the fast spectral method
Lei Wu;Craig White;Thomas J. Scanlon;Jason M. Reese.
Journal of Computational Physics (2013)
Numerical and experimental study of a droplet-based PCR chip
S. Mohr;Yonghao Zhang;Alexandra MacAskill;P.J.R. Day.
Microfluidics and Nanofluidics (2007)
A review on continuous-flow microfluidic PCR in droplets: advances, challenges and future
Yonghao Zhang;Hui-Rong Jiang.
Analytica Chimica Acta (2016)
Phase-field modeling droplet dynamics with soluble surfactants
Haihu Liu;Yonghao Zhang.
Journal of Computational Physics (2010)
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