Nanophotonic Inverse Design Using Artificial Neural Network
作者
John Peurifoy,Yichen Shen,Yi Yang,Jing Li,Fidel Cano-Renteria,John D. Joannopoulos,Max Tegmark,Marin Soljačić
标识
DOI:10.1364/fio.2017.fth4a.4
摘要
We propose a neural network approach to inverse design nanophotonic objects. Using a fully connected artificial neural network, the method finds the geometry of a spherical nanoparticle that match a desired scattering spectrum - either at a single wavelength, or at a broad-band.