Generating Quantum Cascade Laser Datasets for Applications in Machine Learning
Author:
Affiliation:
1. Princeton University,Department of Electrical and Computer Engineering,Princeton,USA
2. R&D, Beijing Qingtian Smart Truck Inc.,Beijing,China
Funder
Princeton University
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858122/9858126/09858281.pdf?arnumber=9858281
Reference13 articles.
1. Machine learning for nanophotonics
2. Predictions of resonant mode characteristics for terahertz quantum cascade lasers with distributed feedback utilizing machine learning
3. Room-Temperature Continuous-Wave Quantum Cascade Lasers Grown by MOCVD Without Lateral Regrowth;liu;IEEE Photonics Technology Letters,2006
4. Performance of an optical wireless communication system as a function of wavelength
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