Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > NOMA > 2022 > NoW5C > NoW5C.2

Designing Photodetectors with Machine Learning

Ergun Simsek, Ishraq Md Anjum, Thomas F. Carruthers, and Curtis R. Menyuk

Not Accessible

Your library or personal account may give you access

Abstract

Modern optimization techniques are used to design high-performance photodetectors. All the designs created during these optimization studies are then used to train a physics-inspired, two-stage neural network to obtain even better-performing devices.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Photodetector Performance Prediction with Machine Learning

Ergun Simsek, Seyed Ehsan Jamali Mahabadi, Thomas F. Carruthers, and Curtis R. Menyuk
FTu6C.4 Frontiers in Optics (FiO) 2021

Hybrid Machine Learning and Optimization Methods for Optical Coating Designs

Haozhu Wang and L. Jay Guo
TB.6 Optical Interference Coatings (OIC) 2022

Using Machine Learning for the Quantum Design of a Matter-Wave Inteferometer

Murray Holland
QTh1A.3 Quantum 2.0 (QUANTUM) 2022

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
Photodetector Performance Prediction with Machine Learning

Ergun Simsek, Seyed Ehsan Jamali Mahabadi, Thomas F. Carruthers, and Curtis R. Menyuk
FTu6C.4 Frontiers in Optics (FiO) 2021

Hybrid Machine Learning and Optimization Methods for Optical Coating Designs

Haozhu Wang and L. Jay Guo
TB.6 Optical Interference Coatings (OIC) 2022

Using Machine Learning for the Quantum Design of a Matter-Wave Inteferometer

Murray Holland
QTh1A.3 Quantum 2.0 (QUANTUM) 2022

View More...
Silicon Photonics for Machine Learning: Training and Inference

B. J. Shastri, M. J. Filipovich, Z. Guo, P. R. Prucnal, C. Huang, A. N. Tait, S. Shekhar, and V. J. Sorger
Tu4G.1 European Conference and Exhibition on Optical Communication (ECOC) 2022

Machine learning-based Raman amplifier design

D. Zibar, A. Ferrari, V. Curri, and A. Carena
M1J.1 Optical Fiber Communication Conference (OFC) 2019

Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use