most citedEfficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks

32 citations · 36 across the 2 of their papers we have counts for

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physics.optics2020★ 32 cited

Efficient inverse design and spectrum prediction for nanophotonic devices based on deep recurrent neural networks

Ruoqin Yan, Tao Wang, Xiaoyun Jiang +6

In recent years, the development of nanophotonic devices has presented a revolutionary means to manipulate light at nanoscale. Recently, artificial neural networks (ANNs) have disp…

physics.optics2019★ 4 cited

Extreme sensitivity refractive index sensor based on lithography-free metal-dielectric cavity

Ruoqin Yan, Tao Wang, Xiaoyun Jiang +2

The use of relatively simple structures to achieve high performance refractive index sensors has always been urgently needed. In this work, we propose a lithography-free sensing pl…