Machine‐Engineered Active Disorder for Digital Photonics (Advanced Optical Materials 7/2022)
Source abstract
Abstract
A novel data-driven approach to examine “active disorder” for light is introduced by Jungmin Kim, Seungkyun Park, Sunkyu Yu, and Namkyoo Park (see article number 2102642). This work demonstrates a wave-oriented evaluation and design of active disorder by deep neural networks mapping the disorder state of a multilayer structure and the corresponding tunable optical responses. The result also provides an intriguing wave analogy of target control in network science.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neural Networks and Reservoir Computing · Semiconductor Lasers and Optical Devices · Photonic and Optical Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul 08826 Korea
Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul 08826 Korea
References
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