Generating Quantum Cascade Laser Datasets for Applications in Machine Learning

Andres Correa Hernandez,Ming Lyu,Claire F. Gmachl

2022 IEEE Photonics Society Summer Topicals Meeting Series (SUM)（2022）

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摘要

For the goal of training machine learning algorithms to predict quantum cascade laser designs with high optical gain, a model dataset containing 2600 designs was collected, filtered, and prepared using a representative 8.2 µm laser.

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关键词

Machine Learning,Quantum Cascade Laser

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