activity
20172020
most citedA scalable computational platform for particulate Stokes suspensions

48 citations · 126 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2020★ 12 cited

Kernel Aggregated Fast Multipole Method: Efficient summation of Laplace and Stokes kernel functions

Wen Yan, Robert Blackwell

Many different simulation methods for Stokes flow problems involve a common computationally intense task -- the summation of a kernel function over pairs of points. One po…

cs.CE2019★ 48 cited

A scalable computational platform for particulate Stokes suspensions

Wen Yan, Eduardo Corona, Dhairya Malhotra +2

We describe a computational framework for simulating suspensions of rigid particles in Newtonian Stokes flow. One central building block is a collision-resolution algorithm that ov…

physics.flu-dyn2018★ 20 cited

Computing collision stress in assemblies of active spherocylinders: applications of a fast and generic geometric method

Wen Yan, Huan Zhang, Michael J. Shelley

In this work, we provide a solution to the problem of computing collision stress in particle-tracking simulations. First, a formulation for the collision stress between particles i…

math.NA2018★ 18 cited

Universal image systems for non-periodic and periodic Stokes flows above a no-slip wall

Wen Yan, Michael Shelley

It is well-known that by placing judiciously chosen image point forces and doublets to the Stokeslet above a flat wall, the no-slip boundary condition can be conveniently imposed o…

math.NA2017★ 28 cited

Flexibly imposing periodicity in kernel independent FMM: A Multipole-To-Local operator approach

Wen Yan, Michael Shelley

An important but missing component in the application of the kernel independent fast multipole method (KIFMM) is the capability for flexibly and efficiently imposing singly, doubly…