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Wenxiao Pan

Researcher at University of Wisconsin-Madison

Publications -  52
Citations -  1926

Wenxiao Pan is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Smoothed-particle hydrodynamics & Dissipative particle dynamics. The author has an hindex of 17, co-authored 52 publications receiving 1545 citations. Previous affiliations of Wenxiao Pan include Brown University & Pacific Northwest National Laboratory.

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Materials and Systems for Organic Redox Flow Batteries: Status and Challenges

TL;DR: In this paper, the recent development of a variety of Redox-Active Organic Materials (ROMs) and associated battery designs in both aqueous and nonaqueous electrolytes are reviewed.
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Predicting human blood viscosity in silico

TL;DR: Using coarse-grained molecular dynamics and two different red blood cell models, this work accurately predicts the dependence of blood viscosity on shear rate and hematocrit and presents the first quantitative estimates of the magnitude of adhesive forces between red cells.
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Many-body dissipative particle dynamics simulation of liquid/vapor and liquid/solid interactions.

TL;DR: The dynamics of droplets entering an inverted Y-shaped fracture junction is shown to be correctly captured in simulations parametrized by the Bond number, confirming the flexibility of MDPD in modeling interface-dominated flows.
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Rheology, Microstructure and Migration in Brownian Colloidal Suspensions

TL;DR: In this article, a single dissipative particle dynamics (DPD) particle dynamics model is proposed to model a monodisperse suspension of colloidal particles in plane shear flows.
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A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy

TL;DR: In this article, a new smoothed particle hydrodynamics (SPH) model for friction stir welding (FSW) is presented, which can simulate the dynamics of interfaces, large material deformations, and the material strain and temperature history without employing complex tracking schemes.