Literature DB >> 32403837

MetaNet: a new paradigm for data sharing in photonics research.

Jiaqi Jiang, Robert Lupoiu, Evan W Wang, David Sell, Jean Paul Hugonin, Philippe Lalanne, Jonathan A Fan.   

Abstract

Optimization methods are playing an increasingly important role in all facets of photonics engineering, from integrated photonics to free space diffractive optics. However, efforts in the photonics community to develop optimization algorithms remain uncoordinated, which has hindered proper benchmarking of design approaches and access to device designs based on optimization. We introduce MetaNet, an online database of photonic devices and design codes intended to promote coordination and collaboration within the photonics community. Using metagratings as a model system, we have uploaded over one hundred thousand device layouts to the database, as well as source code for implementations of local and global topology optimization methods. Further analyses of these large datasets allow the distribution of optimized devices to be visualized for a given optimization method. We expect that the coordinated research efforts enabled by MetaNet will expedite algorithm development for photonics design.

Year:  2020        PMID: 32403837     DOI: 10.1364/OE.388378

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

Review 1.  Tackling Photonic Inverse Design with Machine Learning.

Authors:  Zhaocheng Liu; Dayu Zhu; Lakshmi Raju; Wenshan Cai
Journal:  Adv Sci (Weinh)       Date:  2021-01-07       Impact factor: 16.806

  1 in total

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