Glasses are materials that lack a crystalline microstructure and long‐range atomic order.
Instead, they feature heterogeneity and disorder on superstructural scales, which have …

The design of new glasses is often plagued by poorly efficient Edisonian “trial-and-error”
discovery approaches. As an alternative route, the Materials Genome Initiative has largely …

Molecular dynamics and related atomistic computer simulations are effective ways in
studying the structures and structure–property relations of glass materials. However …

The glass science and technology is a rapidly develo** field which is focused on
development of new glasses with excellent properties. Glasses are the non-crystalline …

Silicate glasses have no long-range order and exhibit a short-range order that is often fairly
similar to that of their crystalline counterparts. Hence, the out-of-equilibrium nature of …

Abstract Machine learning (ML) methods are becoming popular tools for predicting and
designing novel materials. In particular, neural network (NN) is a promising ML method …

The continuous development and improvement of interatomic potential models for oxide
glasses have made classical molecular dynamics a powerful computational technique …

The contribution reports on molecular dynamics simulation were used to understand, at the
molecular level, the interaction of molybdenum, gadolinium and europium ions with …

From telescope lenses to optical fibers and smartphone screens, glasses have been key
enablers in human history. Unlike crystalline materials, glasses can virtually feature any …

An accurate and transferable machine learning (ML) potential for the simulation of binary
sodium silicate glasses over a wide range of compositions (from 0 to 50% Na2O) was …