activity
20182022
collaborators

5 papers

physics.comp-ph2022

Parallelized Domain Decomposition for Multi-Dimensional Lagrangian Random Walk, Mass-Transfer Particle Tracking Schemes

Lucas Schauer, Michael J. Schmidt, Nicholas B. Engdahl +3

We develop a multi-dimensional, parallelized domain decomposition strategy (DDC) for mass-transfer particle tracking (MTPT) methods. These methods are a type of Lagrangian algorith…

physics.data-an2020

Nonparametric, data-based kernel interpolation for particle-tracking simulations and kernel density estimation

David A Benson, Diogo Bolster, Stephen Pankavich +1

Traditional interpolation techniques for particle tracking include binning and convolutional formulas that use pre-determined (i.e., closed-form, parameteric) kernels. In many inst…

physics.comp-ph2020

A Mass-transfer Particle-tracking Method for Simulating Transport with Discontinuous Diffusion Coefficients

Michael J. Schmidt, Nicholas B. Engdahl, Stephen D. Pankavich +1

The problem of a spatially discontinuous diffusion coefficient () is one that may be encountered in hydrogeologic systems due to natural geological features or as…

physics.comp-ph2019

Particle Density Estimation with Grid-Projected Adaptive Kernels

Guillem Sole-Mari, Diogo Bolster, Daniel Fernàndez-Garcia +1

The reconstruction of smooth density fields from scattered data points is a procedure that has multiple applications in a variety of disciplines, including Lagrangian (particle-bas…

physics.flu-dyn2018

On the separate treatment of mixing and spreading by the reactive-particle-tracking algorithm: An example of accurate upscaling of reactive Poiseuille flow

David A. Benson, Diogo Bolster, Stephen Pankavich

The Eulerian advection-dispersion-reaction equation (ADRE) suffers the well-known scale-effect of reduced apparent reaction rates between chemically dissimilar fluids at larger sca…