407 citations · 1.3k across the 28 of their papers we have counts for
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eess.IV2018★ 7 cited
Finding the best design parameters for optical nanostructures using reinforcement learning
Iman Sajedian, Trevon Badloe, Junsuk Rho
Recently, a novel machine learning model has emerged in the field of reinforcement learning known as deep Q-learning. This model is capable of finding the best possible solution in…
cs.CV2018★ 1 cited
Predicting resonant properties of plasmonic structures by deep learning
Iman Sajedian, Jeonghyun Kim, Junsuk Rho
Deep learning can be used to extract meaningful results from images. In this paper, we used convolutional neural networks combined with recurrent neural networks on images of plasm…