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Predicting early failure of quantum cascade lasers during accelerated burn-in testing using machine learning
Device life time is a significant consideration in the cost of ownership of quantum cascade lasers (QCLs). The life time of QCLs beyond an initial burn-in period has been studied previously; however, little attention has been given to predicting premature device failure where the device fails within...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163159/ https://www.ncbi.nlm.nih.gov/pubmed/35654815 http://dx.doi.org/10.1038/s41598-022-13303-0 |