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arXiv · 2002.03050

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
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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.

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Jiaqi Jiang, Robert Lupoiu, Evan W. Wang, David Sell, Jean Paul Hugonin, Philippe Lalanne, Jonathan A. Fan. 2020-02-08. MetaNet: A new paradigm for data sharing in photonics research. https://doi.org/10.1364/oe.388378

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