Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > EQEC > 2021 > jsiv_5 > jsiv_5_4
  • 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference
  • OSA Technical Digest (Optica Publishing Group, 2021),
  • paper jsiv_5_4

Sample-efficient dataset generation for Deep-Learning based inverse design of photonic nanostructures

Soumyashree S. Panda, Harshul Tandan, and Ravi S. Hegde

Not Accessible

Your library or personal account may give you access

Abstract

We find that unsupervised clustering techniques can be exploited for creating training datasets to reduce the burden of model training. This has implications for broadening applicability of Deep-learning to complicated structures requiring lengthy computations.

© 2021 IEEE

PDF Article
More Like This
Deep Learning based Inverse Design of Integrated Silicon Nanophotonic Gratings

Hussaina Ali Akbar, Anusha Rehman, Zeeshan Karim, Ahmad Usman, and Syed Hasan Asim
jsiv_p_1 European Quantum Electronics Conference (EQEC) 2021

Deep Learning enabled Forward Modeling and Inverse Design of Integrated Nanophotonic Gratings

Hussaina Ali Akbar, Anusha Rehman, Zeeshan Karim, Ahmad Usman, and Syed Hasan Asim
JTh5A.100 Frontiers in Optics (FiO) 2021

Manifold Learning for Reducing the Design Complexity of Photonic Nanostructures

Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Hossein Maleki, Tyler Brown, and Ali Adibi
JTu3A.115 CLEO: Applications and Technology (CLEO:A&T) 2021

View More...
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