(Peer-Reviewed) OptoGPT: A foundation model for inverse design in optical multilayer thin film structures
Taigao Ma 马太高 ¹, Haozhu Wang 王浩竹 ², L. Jay Guo 郭凌杰 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, 2024-07-10
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.
Multiplexed stimulated emission depletion nanoscopy (mSTED) for 5-color live-cell long-term imaging of organelle interactome
Yuran Huang, Zhimin Zhang, Wenli Tao, Yunfei Wei, Liang Xu, Wenwen Gong, Jiaqiang Zhou, Liangcai Cao, Yong Liu, Yubing Han, Cuifang Kuang, Xu Liu
Opto-Electronic Advances
2024-07-05
Photonics-assisted THz wireless communication enabled by wide-bandwidth packaged back-illuminated modified uni-traveling-carrier photodiode
Yuxin Tian, Boyu Dong, Yaxuan Li, Bing Xiong, Junwen Zhang, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Nan Chi, Yi Luo
Opto-Electronic Science
2024-07-01