Abstract

Inverse design of photonic nanostructures based on machine learning (ML) methods has recently attracted much attention. An artificial neural network (ANN) showcases good performance on the photonic inverse design problem. However, there are still many unsolved issues regarding an efficient way to find a geometry that yields the target response by data-driven ML approaches. The design of air mass (AM) 1.5G filters for solar simulators represents such a challenging case. Here, we propose and show that a recurrent neural adjoint method is efficient in optimizing a multilayer optical filter for that purpose. Two examples of inverse design and optimization for an AM 1.5G filter with ${{\rm Si}_{3}} {{\rm N}_{4}} / {{\rm SiO}_{2}}$ and (${{\rm Si}_{3}} {{\rm N}_{4}} / {{\rm SiO}_{2}}$)/(${{\rm Ta}_{2}} {{\rm O}_{5}} / {{\rm SiO}_{2}}$) films at a different spectrum band (e.g.,  $\lambda = 280\;{\rm nm} - 800\;{\rm nm}$ and $\lambda = 280\;{\rm nm} - 1350\;{\rm nm}$) have been demonstrated. By comparing several strategies based on ANN approaches, a generic and efficient scheme is presented for photonic multilayer film structure engineering, which we believe could be applied to various photonic device designs.

© 2021 Optical Society of America

Neural-adjoint method for the inverse design of all-dielectric metasurfaces

Yang Deng, Simiao Ren, Kebin Fan, Jordan M. Malof, and Willie J. Padilla
Opt. Express 29(5) 7526-7534 (2021)

Inverse design of functional photonic patches by adjoint optimization coupled to the generalized Mie theory

Yilin Zhu, Yuyao Chen, Sean Gorsky, Tornike Shubitidze, and Luca Dal Negro
J. Opt. Soc. Am. B 40(7) 1857-1874 (2023)

Developing an optimized metasurface for light trapping in thin-film solar cells using a deep neural network and a genetic algorithm

Mohammad Ali Shameli, Amirhossein Fallah, and Leila Yousefi
J. Opt. Soc. Am. B 38(9) 2728-2735 (2021)

Multi-solution inverse design in photonics using generative modeling

Preetam Kumar, Aniket Patra, E. S. Shivaleela, Vincenzo Caligiuri, Roman Krahne, Antonio De Luca, and T. Srinivas
J. Opt. Soc. Am. B 41(2) A152-A160 (2024)

Refractive index biosensing using near-UV metal–dielectric–metal nanostructured arrays: fabrication and simulation

Quang Minh Ngo, Thu Trang Hoang, Thanh Son Pham, and Khai Q. Le
J. Opt. Soc. Am. B 38(7) 2075-2081 (2021)