Thermal transport of glasses via machine learning driven simulations

Accessing the thermal transport properties of glasses is a major issue for the design of production strategies of glass industry, as well as for the plethora of applications and devices where glasses are employed. From the computational standpoint, the chemical and morphological complexity of glasse...

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Bibliographic Details
Main Authors: Paolo Pegolo, Federico Grasselli
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Materials
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2024.1369034/full

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