OptoGPT: A foundation model for inverse design in optical multilayer thin film structures

50Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Optical multilayer thin film structures have been widely used in numerous photonic applications. However, existing inverse design methods have many drawbacks because they either fail to quickly adapt to different design targets, or are difficult to suit for different types of structures, e.g., designing for different materials at each layer. These methods also cannot accommodate versatile design situations under different angles and polarizations. In addition, how to benefit practical fabrications and manufacturing has not been extensively considered yet. In this work, we introduce OptoGPT (Opto Generative Pretrained Transformer), a decoder-only transformer, to solve all these drawbacks and issues simultaneously.

Cite

CITATION STYLE

APA

Ma, T., Wang, H., & Guo, L. J. (2024). OptoGPT: A foundation model for inverse design in optical multilayer thin film structures. Opto-Electronic Advances, 7(7). https://doi.org/10.29026/oea.2024.240062

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free