Terahertz pulse shaping using diffractive surfaces

Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and optics, diffractive networks merge wave-optics with deep learning to design task-specific elements to all-optically perform various tasks su...

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Bibliographic Details
Published in:Nature communications 2021-01, Vol.12 (1), p.37-13, Article 37
Main Authors: Veli, Muhammed, Mengu, Deniz, Yardimci, Nezih T., Luo, Yi, Li, Jingxi, Rivenson, Yair, Jarrahi, Mona, Ozcan, Aydogan
Format: Article
Language:English
Subjects:
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Broadband
Deep learning
Engineers
Humanities and Social Sciences
Inverse problems
Learning algorithms
Machine learning
Machine vision
Modularity
multidisciplinary
Neural networks
Optical communication
Optics
Pulse duration
Science
Science (multidisciplinary)
Spectroscopy
Three dimensional printing
Transfer learning
Waveforms
Wavelengths
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