2 papers
eess.IV2026
Dimension expansion for simulation-efficient nanophotonic neural networks
Shuo Huang, Mahsa Torfeh, Lujia Zhong +3
Inverse design of nanophotonic structures is challenging due to the large design space, nonlinear structure-response relationships, and the high computational cost of iterative ele…
physics.optics2023
Perfect Absorption at the Ultimate Thickness Limit in Planar Films
Zarko Sakotic, Alexander Ware, Michelle Povinelli +1
Reducing device volume is one of the key requirements for advanced nanophotonic technologies, however this demand is often at odds with designing highly absorbing elements which us…