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Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships

Chalcogenide glasses (ChGs) possess various outstanding properties enabling essential applications, such as optical discs, infrared cameras, and thermal imaging systems. Despite their ubiquitous usage, these materials’ composition–property relationships remain poorly understood, impeding the pace of...

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Principais autores: Sayam Singla, Sajid Mannan, Mohd Zaki, N M Anoop Krishnan
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2023-01-01
Serier:JPhys Materials
Fag:
chalcogenide glasses
machine learning
SHAP
glass design
Online adgang:https://doi.org/10.1088/2515-7639/acc6f2
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