Arsenic (As), chromium (Cr), and vanadium (V) are naturally occurring, redox-active
elements that can become human health hazards when they are released from aquifer …

The modeling of flow and transport in porous media is of the utmost importance in many
chemical engineering applications, including catalytic reactors, batteries, and CO2 storage …

Abstract Physics-Informed Neural Networks (PINN) are a machine learning tool that can be
used to solve direct and inverse problems related to models described by Partial Differential …

Natural aquifers are often characterized by multiscale heterogeneity and complex flow
networks, challenging the reliable simulation and prediction of contaminant transport …

Forecasting water content dynamics in heterogeneous porous media has significant interest
in hydrological applications; in particular, the treatment of infiltration when in presence of …

Contaminant transport modeling (CTM) in the groundwater represents the complex bio-geo-
chemical processes in the subsurface system and plays a vital role in designing remediation …

We present the porousGasificationFoam solver and libraries, developed in the open-source
C++ code OpenFOAM, for the comprehensive simulation of the thermochemical conversion …

We present a flexible scalable open-source computational framework, named
SECUReFoam, based on the finite-volume library OpenFOAM®, for flow and transport …

We present Fast-QSGS, a GPU-accelerated program for granular disordered media
generation. Based on vectorization, Fast-QSGS is accelerated by modern GPU thanks to the …

In this paper, we introduce peridynamic theory and its application to Richards' equation with
a piecewise smooth initial condition. Peridynamic theory is a non-local continuum theory that …