Predicting Broadband Resonator-Waveguide Coupling for Microresonator Frequency Combs through Fully Connected and Recurrent Neural Networks and Attention Mechanism-Reference-Cited by-同舟云学术

Predicting Broadband Resonator-Waveguide Coupling for Microresonator Frequency Combs through Fully Connected and Recurrent Neural Networks and Attention Mechanism

Published:2023-05-24 Issue:6 Volume:10 Page:1795-1805
ISSN:2330-4022
Container-title:ACS Photonics
language:en
Short-container-title:ACS Photonics

Author:

Soroush Masoud¹,Simsek Ergun¹^ORCID,Moille Gregory²³,Srinivasan Kartik²³,Menyuk Curtis R.¹

Affiliation:

1. Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, Maryland 21250, United States

2. Microsystems and Nanotechnology Division, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland 20899, United States

3. Joint Quantum Institute, NIST/University of Maryland, College Park, Maryland 20742, United States

Funder

Defense Advanced Research Projects Agency

National Institute of Standards and Technology

Air Force Office of Scientific Research

Publisher

American Chemical Society (ACS)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Biotechnology,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acsphotonics.3c00054

Reference43 articles.

1. Deep neural networks for the evaluation and design of photonic devices

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4. Adjoint shape optimization applied to electromagnetic design

5. Inverse Design and Demonstration of a Compact on-Chip Narrowband Three-Channel Wavelength Demultiplexer

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