论文标题
使用深度学习的波长可控的前向预测和纳米光设备的逆设计
Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning
论文作者
论文摘要
提出了基于深度学习的波长可控的前向预测和纳米光设备的逆设计模型。目标时间域和波长域信息都可以同时使用，这使得可以有效且灵活地实现多个功能，包括功率分离器和波长反复分解器。
A deep learning-based wavelength controllable forward prediction and inverse design model of nanophotonic devices is proposed. Both the target time-domain and wavelength-domain information can be utilized simultaneously, which enables multiple functions, including power splitter and wavelength demultiplexer, to be implemented efficiently and flexibly.
