POST: photonic swin transformer for automated and efficient prediction of PCSEL.

ABSTRACT: This work designs a model named POST based on the vision transformer (ViT) approach. Across single, double, and even triple lattices, as well as various non-circular complex hole structures, POST enables prediction of multiple optical properties of photonic crystal layers in photonic crystal surface emitting lasers (PCSELs) with high speed and accuracy, without requiring manual intervention, which serves as a comprehensive surrogate for the optical field simulation. In the predictions of quality factor (Q) and surface-emitting efficiency (SE) for PCSEL, the R-squared values reach 0.909 and 0.779, respectively. Additionally, it achieves nearly 5,000 predictions per second, significantly lowering simulation costs. The precision and speed of POST predictions lay a solid foundation for

SUBMITTER: Xin Q 

PROVIDER: S-EPMC12592633 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature