Intelligent design of the chiral metasurfaces for flexible targets: combining a deep neural network with a policy proximal optimization algorithm.
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DOI: 10.1364/oe.471629
Abstract: Recently, deep reinforcement learning (DRL) for metasurface design has received increased attention for its excellent decision-making ability in complex problems. However, time-consuming numerical simulation has hindered the adoption of DRL-based design method. Here we apply… read more here.
Keywords: metasurfaces flexible; deep neural; chiral metasurfaces; design ... See more keywords