3 citations · 3 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
Entropy: The former trouble with particles (including a new numerical model computational penalty for the Akaike information criterion)
David A. Benson, Stephen Pankavich, Michael Schmidt +1
Traditional random-walk particle-tracking (PT) models of advection and dispersion do not track entropy, because particle masses remain constant. Newer mass-transfer particle tracki…
Numerical Equivalence Between SPH and Probabilistic Mass Transfer Methods for Lagrangian Simulation of Dispersion
Guillem Sole-Mari, Michael J. Schmidt, Stephen D. Pankavich +1
Several Lagrangian methodologies have been proposed in recent years to simulate advection-dispersion of solutes in fluids as a mass exchange between numerical particles carrying th…
Accelerating and parallelizing Lagrangian simulations of mixing-limited reactive transport
Nicholas B. Engdahl, Michael J. Schmidt, David A. Benson
Recent advances in random-walk particle-tracking have enabled direct simulation of mixing and reactions on particles by allowing the particles to interact with each other using a m…
On the accuracy of simulating mixing by random-walk particle-based mass-transfer algorithms
Michael J. Schmidt, Stephen D. Pankavich, David A. Benson
Several algorithms have been used for mass transfer between particles undergoing advective and macro-dispersive random walks. The mass transfer between particles is required for ge…