Advancing the mechanical performance of glasses: perspectives and challenges
Glasses are materials that lack a crystalline microstructure and long‐range atomic order.
Instead, they feature heterogeneity and disorder on superstructural scales, which have …
Instead, they feature heterogeneity and disorder on superstructural scales, which have …
Machine learning for glass science and engineering: A review
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 …
discovery approaches. As an alternative route, the Materials Genome Initiative has largely …
Development of boron oxide potentials for computer simulations of multicomponent oxide glasses
Molecular dynamics and related atomistic computer simulations are effective ways in
studying the structures and structure–property relations of glass materials. However …
studying the structures and structure–property relations of glass materials. However …
A review on Machine learning aspect in physics and mechanics of glasses
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 …
development of new glasses with excellent properties. Glasses are the non-crystalline …
Experimental method to quantify the ring size distribution in silicate glasses and simulation validation thereof
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 …
similar to that of their crystalline counterparts. Hence, the out-of-equilibrium nature of …
Molecular dynamics simulation and luminescence properties of Eu3+ doped molybdenum gadolinium borate glasses for red emission
The contribution reports on molecular dynamics simulation were used to understand, at the
molecular level, the interaction of molybdenum, gadolinium and europium ions with …
molecular level, the interaction of molybdenum, gadolinium and europium ions with …
Deciphering the atomic genome of glasses by topological constraint theory and molecular dynamics: a review
M Bauchy - Computational Materials Science, 2019 - Elsevier
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 …
enablers in human history. Unlike crystalline materials, glasses can virtually feature any …
Predicting Young's modulus of oxide glasses with sparse datasets using machine learning
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 …
designing novel materials. In particular, neural network (NN) is a promising ML method …
Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning
Despite the use of inorganic glasses for more than 4500 years, the composition–property
relationships in these materials remain poorly understood. Here, exploiting largescale …
relationships in these materials remain poorly understood. Here, exploiting largescale …
[PDF][PDF] Interatomic potentials for describing impurity atoms of light elements in fcc metals.
GM Poletaev, IV Zorya, RY Rakitin, MA Iliina - Materials Physics & …, 2019 - ipme.ru
Parameters of Morse potentials for describing the interactions of atoms of light elements C,
N, O with atoms of fcc metals Al, Ag, Ni are found. This set of three metals is unique in that …
N, O with atoms of fcc metals Al, Ag, Ni are found. This set of three metals is unique in that …