As one of the most influential industries in public health and the global economy, the
pharmaceutical industry is facing multiple challenges in drug research, development and …

The random pore model (RPM) is the most comprehensive model for non-catalytic gas-solid
reactions. The application of RPM is critical in some environmental pollutant removal …

The lithium-ion battery (LIB) field is moving towards the direction of investigating spatially
resolved physical phenomena in the 3D porous microstructure of electrodes. These pore …

The dynamics of fine particle entrainment, transport, and deposition within pore systems,
and in particular, the capacity for mobile fines to impair permeability within porous media is …

Background Machine learning (ML) tools have become invaluable in potential drug
candidate screening, formulation development, manufacturing, and characterization of …

Emerging concepts from scientific deep machine learning such as physics-informed neural
networks (PINNs) enable a data-driven approach for the study of complex kinetic problems …

Lithium-ion batteries are used across various applications, necessitating tailored cell
designs to enhance performance. Optimizing electrode manufacturing parameters is a key …

Here we present a regularized phase-field Navier–Stokes two-phase flow model with
density gradient theory for interface treatment. The usage of regularization allows us for …

Permeability and effective dispersion tensors are critical parameters to characterize flow and
transport in porous media at the continuum scale. Homogenization theory defines a …

This study concentrates on heat transmission and momentum in the hydromagnetic flow of
hybrid nano-dusty fluid over the thermal plate with radiation, Newtonian heating wall …