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OptoGPT: A foundation model for inverse design in optical multilayer thin film structures
OptoGPT:光学多层薄膜结构逆向设计的基础模型
OptoGPT: 光学多層薄膜構造における逆設計のための基礎モデル
OptoGPT: 광학적 다층 광광필름 구조에서 역설계를 위한 기초 모델
OptoGPT: Un modelo de base para el diseño inverso en estructuras ópticas de película delgada multicapa
OptoGPT : un modèle de fondation pour la conception inverse dans les structures optiques à couches minces
OptoGPT: Основная модель для обратного проектирования в оптических многослойных тонкопленочных структурах
Taigao Ma ¹, Haozhu Wang ², L. Jay Guo ²
¹ Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
² Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, USA
Opto-Electronic Advances, 16 July 2024
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.
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