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      Deep learning for the design of photonic structures

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          Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations

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            Metamaterials and negative refractive index.

            Recently, artificially constructed metamaterials have become of considerable interest, because these materials can exhibit electromagnetic characteristics unlike those of any conventional materials. Artificial magnetism and negative refractive index are two specific types of behavior that have been demonstrated over the past few years, illustrating the new physics and new applications possible when we expand our view as to what constitutes a material. In this review, we describe recent advances in metamaterials research and discuss the potential that these materials may hold for realizing new and seemingly exotic electromagnetic phenomena.
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              Plasmonics: Fundamentals and Applications

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                Author and article information

                Contributors
                Journal
                Nature Photonics
                Nat. Photonics
                Springer Science and Business Media LLC
                1749-4885
                1749-4893
                October 05 2020
                Article
                10.1038/s41566-020-0685-y
                35b51da5-ed23-4a5f-9178-debf935dd250
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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