Work

Inverse design of topological valley-locked slow light rainbow trapper based on physics-aware latent diffusion model

Year: 2025

Type: article

Abstract: Valley photonic crystals (VPCs), leveraging topologically protected edge states, provide robust mechanisms for light wave manipulation and propagation. The design of VPCs primarily relies on the configuration and arrangement of the unit cell structures. In conventional structural design, the trial-and-error approach relying on prior structural templates and full-wave simulations leads to significant inefficiencies. In recent years, various inverse design algorithms have been widely adopted for structural generation. However, these methods often fail to meet the demands of multi-objective structural generation under limited physical constraints. We propose a physics-aware latent diffusion model (PALDM). This generative framework enables efficient generation of VPC unit cell structures by embedding physics-aware constraints into the latent diffusion process. Using PALDM, we designed ten different unit cell structures with parametric gradient variations. The topological slow light waveguide composed of these structures achieved slow light rainbow trapping in the topological bandgap, validating the capability of PALDM to generate VPCs with tailored frequency response. The physics-aware approach thus offers a pathway for advanced topological photonic device design.

Source: Optics Express

DOI: 10.1364/oe.573199

Authors: Hang Liu, Yan Ren, Rui Zhou, Ying Zhang, Hai Lin, Yanwen Wu

Institutions: Central China Normal University, Instituto de Ciencia de Materiales de Madrid

Language: English

Topic: Topological Materials and Phenomena

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funder: National Natural Science Foundation of China