The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

In this paper, we propose an alternative road to calculate the transport coefficients of fluids
and the slip length inside nano-conduits in a Poiseuille-like geometry. These are all …

High-entropy ceramics have garnered interest due to their remarkable hardness,
compressive strength, thermal stability, and fracture toughness; yet the discovery of new …

Nanoporous, gas-selective membranes have shown encouraging results for the removal of
CO2 from flue gas, yet the optimal design for such membranes is often unknown. Therefore …

Here, we used a combined molecular dynamics/active learning (AL) approach to create
machine learning models that can predict the diffusion coefficient of epichlorohydrin and …

The effective administration of urban activity may be a basic challenge in contemporary city
arranging, driven by the got to diminish blockage, minimize travel time, and lower natural …