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An improved tandem neural network for the inverse design of nanophotonics devices
Optics Communications ( IF 2.4 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.optcom.2020.126513
Xiaopeng Xu , Chonglei Sun , Yu Li , Jia Zhao , Junlei Han , Weiping Huang

Abstract The tandem neural network with a modified loss function is used to inversely design the nanophotonic device from a desired spectrum, to obtain the corresponding structural parameters. High prediction accuracy is demonstrated on the inverse design of grating coupler examples, etc. Different activation functions and loss functions used in the tandem network are compared to find the optimum scheme. The method can be readily applied to many other cases in order to obtain the design parameters instantaneously from the device response curves.

中文翻译:

用于纳米光子器件逆向设计的改进串联神经网络

摘要 利用具有修正损失函数的串联神经网络从所需光谱逆向设计纳米光子器件,得到相应的结构参数。光栅耦合器示例等的逆向设计证明了高预测精度。比较串联网络中使用的不同激活函数和损失函数,以找到最佳方案。该方法可以很容易地应用于许多其他情况,以便从器件响应曲线中即时获得设计参数。
更新日期:2021-02-01
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