Search Results - linran+fan

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Photonic Machine Learning with Wavelength/Frequency Multiplexing
This invention is an improved method of machine learning utilizing nanophotonic devices to implement neural networks. Photons from nanophotonic devices have degrees of freedom which allow for more information to be encoded in the photons. This allows the neural network to be expanded. Signals then are encoded in different wavelengths which allow for...
Published: 7/15/2022   |   Inventor(s): Linran Fan, Quntao Zhuang
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics > Telecommunications > Electro-Optic Devices, Technology Classifications > Engineering & Physical Sciences > Quantum Computing
Distributed Feedback Fiber Laser Pumped by Multimode Diode Lasers
Researchers at the University of Arizona College of Optical Sciences and Canada's Carleton University recently succeeded in fabricating high reflectivity (>99%) Fiber Bragg Gratings (FBGs) into phosphate glass fibers using UV light and a phase mask technique. With this new manufacturing technique, fiber lasers can be created as single monolithic...
Published: 12/21/2022   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li, Jacques Albert
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Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources
All-Fiber Multicore Fiber Laser Devices
Researchers at the University of Arizona have developed a compact, power-scalable, alignment-free fiber laser that takes a new approach to stabilizing phase-locked operation of multi-core fiber lasers by completely removing all free space optical components. This high-brightness, all-fiber laser package uses passive optical fiber spliced at both ends...
Published: 7/15/2022   |   Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li
Keywords(s):  
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Fiber Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources