This review focuses on recent advancements in data-driven methods for analyzing flow and
transport in porous media, which are showing promising potential for applications in energy …

Drying is one of the most effective methods to preserve foods and guarantee their supply for
more people. Mathematical modeling is an important tool that aids the design, development …

Water transport in the unsaturated zone is an important part of the hydrological cycle and is
the link between the atmosphere‒soil‐groundwater for material and energy transport. The …

Stochastic processes have found numerous applications in science, as they are broadly
used to model a variety of natural phenomena. Due to their intrinsic randomness and …

Rapid evolution of sensor technology, advances in instrumentation, and progress in
devising data-acquisition software and hardware are providing vast amounts of data for …

Food production cannot be decoupled from human and planetary wellbeing. Meeting safety,
nutritional, sensorial, and even price requirements entails applying an integral view of food …

Abstract Machine learning is employed for solving physical systems governed by general
nonlinear partial differential equations (PDEs). However, complex multi-physics systems …

Statistics of diffusion, modeled by random walks, such as the mean number of distinct sites
visited S (t) at time t, the mean probability P 0 (t) of being at the origin of the walk, and the …

Monitoring the burning surface regression in ground static ignition tests is crucial for
predicting the internal ballistic performance of solid rocket motors (SRMs). A previously …

Abstract Die erratische Bewegung von Teilchen in einem Medium ist ein Problem, das seit
über einem Jahrhundert untersucht wird. Diese Bewegung, die als Brownsche Bewegung …