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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Hlavní autoři:	Sayam Singla, Sajid Mannan, Mohd Zaki, N M Anoop Krishnan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2023-01-01
Edice:	JPhys Materials
Témata:	chalcogenide glasses machine learning SHAP glass design
On-line přístup:	https://doi.org/10.1088/2515-7639/acc6f2
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