A Versatile Machine Learning Model for Predicting Premature Failure in Quantum Cascade Lasers
We demonstrate a machine learning algorithm using support vector machines that predicts early failures in quantum cascade lasers. The approach is compatible with lasers comprising different quantum designs and device characteristics.
Authors
- A. Cagri Aydinkarahaliloglu
- Mariano Troccoli (ORCID: https://orcid.org/0000-0003-3709-1893)
- Arifin Nur Alif
- Mary Fong
- Anthony J. Hoffman (ORCID: https://orcid.org/0000-0002-2166-8830)
- Xiao-Jun Wang (ORCID: https://orcid.org/0000-0002-5381-445X)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jps200_196
- Primary Topic
- Spectroscopy and Laser Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00