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