Machine learning demonstrates effective prediction of early failures in quantum cascade lasers, indicating compatibility with diverse designs.
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.
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Alif et al. (2025) studied this question.
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