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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2023-01-01
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| Series: | JPhys Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7639/acc6f2 |