The presence of solute concentration fluctuations at spatial scales much below the scale of
resolution is a major challenge for modeling reactive transport in porous media. Overlooking …

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-based) …

A significant drawback of Lagrangian (particle-tracking) reactive transport models has been
their inability to properly simulate interactions between solid and liquid chemical phases …

Abstract The Smoothed Particle Hydrodynamics (SPH) method is a Lagrangian approach
that has been widely used to eliminate numerical dispersion for solving advection …

Previous studies found that Finite Particle Method (FPM), an improved Smoothed Particle
Hydrodynamics (SPH) method, yields more accurate solutions of the advection‐dispersion …

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

Random walk particle tracking (RWPT) methods employ a Lagrangian discretization of
transported scalars into point particles to numerically solve the advection–dispersion …

Geochemical systems are known to exhibit highly variable spatiotemporal behavior. This
may be observed both in non-smooth concentration curves in space for a single sampling …

Traditional random-walk particle-tracking (PT) models of advection and dispersion do not
track entropy, because particle masses remain constant. However, newer mass-transfer …

In this work we employ a reduced‐order basis of conservative chemical components to
model reactive transport using a Lagrangian (particle tracking) method. While this practice is …