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Neural-network-based design of tunable multilayer films

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Authors

Kim, Jungmin; Yu, Sunkyu; Park, Namkyoo

Issue Date
2021-01
Publisher
The Optical Society
Citation
Optics InfoBase Conference Papers, p. JW4B.3
Abstract
We introduce the data-driven design of multilayers with enhanced tunability. By applying the machine-learning-designed claddings to a phase-changeable core, we obtain the deterministic realization of on-off states in the angular transmittance, achieving tunable engineered disorder.
URI
https://hdl.handle.net/10371/202201
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  • College of Engineering
  • Department of Electrical and Computer Engineering
Research Area Disordered, Open-System Wave Mechanics, Photonic AI Systems, Photonic Neuromorphic Devices, 광학 뉴로모픽 소자, 광학 인공지능 시스템, 무질서, 열린계 파동역학

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