Multiplexed Supercell Metasurface Design and Optimization with Tandem Residual Networks

• Published in: arXiv.org
• Main Authors: Yeung, Christopher, Ju-Ming Tsai, King, Brian, Pham, Benjamin, Ho, David, Liang, Julia, Knight, Mark W, Raman, Aaswath P
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.12.2020
• Subjects: Absorption; Artificial neural networks; Broadband; Computer simulation; Design; Insulators; Inverse design; Machine learning; Metasurfaces; Multiplexing; Neural networks; Physics - Applied Physics; Physics - Optics

Complex nanophotonic structures hold the potential to deliver exquisitely tailored optical responses for a range of applications. Metal-insulator-metal (MIM) metasurfaces arranged in supercells, for instance, can be tailored by geometry and material choice to exhibit a variety of absorption properti...