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Data-Based Design Method for Metamaterials Uses Artificial Intelligence

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POHANG, South Korea, July 19, 2019 — The process for designing metamaterials could be improved by using data-driven approaches based on deep learning, according to researchers at Pohang University of Science and Technology (POSTECH). The researchers used a deep-learning-assisted inverse design method to enable structural parameters and material for metamaterials to be designed simultaneously and with a greater degree of freedom. The group led by professor Junsuk Rho taught an artificial neural network to recognize the correlation between the extinction spectra of electric and magnetic dipoles and core-shell nanoparticle...Read full article

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