Predicting premature failure of quantum cascade lasers with different quantum designs using active machine learning.
- DOI
- 10.1038/s41598-026-55243-z
- Published
- 2026 Jul 15
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55243-z,
title = {Predicting premature failure of quantum cascade lasers with different quantum designs using active machine learning.},
author = {Aydinkarahaliloglu AC and Alif AN and Wang X and Troccoli M and Hoffman AJ},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55243-z},
url = {https://doi.org/10.1038/s41598-026-55243-z}
}RIS
TY - JOUR TI - Predicting premature failure of quantum cascade lasers with different quantum designs using active machine learning. AU - Aydinkarahaliloglu AC AU - Alif AN AU - Wang X AU - Troccoli M AU - Hoffman AJ PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55243-z UR - https://doi.org/10.1038/s41598-026-55243-z ER -
APA
AC, A., AN, A., X, W., M, T., & AJ, H. (2026). Predicting premature failure of quantum cascade lasers with different quantum designs using active machine learning.. Scientific reports. https://doi.org/10.1038/s41598-026-55243-z
Source records
- pubmed · retrieved 2026-09-26T15:44:21.980Z