Ceramic electrochemical cells (CECs) are promising devices for clean and efficient energy
conversion and storage due to their high energy efficiency, more extended system durability …

A data-driven approach is used to describe the growth of crystals and thin films based on
high-throughput numerical experiments. This way the Machine Learning (ML) helps to …

This paper presents recent advances in the theory of multicomponent crystal growth from
gas or solution, focusing on the most common step-flow mechanisms: Burton-Cabrera …

The understanding of crystal formation in thin films and the precise knowledge of the relation
between structure and surface diffusion are two important requirements for the efficient …

When the shock load is applied, materials experience incredibly high temperature and
pressure conditions on picosecond timescales, usually accompanied by remarkable …

The search for new solid ionic conductors is an important topic of material science that
requires significant resources, but can be accelerated using machine learning (ML) …

Roughness and orientational order in thin films of anisotropic particles are investigated
using kinetic Monte Carlo simulations on a cubic lattice. Anisotropic next-neighbor …

The epitaxial growth of metallic thin films has been studied intensively, leading to
computational models that can predict diverse morphologies depending on thermodynamic …

In this paper we argued that the use of relatively low values for both and ϵ0 gives
information for higher, ϵ0 by invoking a scaling argument for island densities in …

X-ray and neutron scattering encompass a large variety of complementary and non-invasive
measurement techniques that are used to study a large range of materials. The continued …