mlsanityData to 14 Oct 2026

OptoGPT: A Foundation Model for Inverse Design in Optical Multilayer Thin Film Structures

arXiv 2304.10294 ↗First posted 20 Apr 2023physics.optics cs.LGcited by 13

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Abstract (arXiv)

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.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 11 of its 53 references that are in the map. First posted on arXiv 20 Apr 2023.

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11 of 53 references.

References · 11

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2022Training language models to follow instructions with human feedbackcited by 15,971
  5. 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
  6. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  7. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,071
  8. 2022A Generalist Agentcited by 808
  9. 2022Galactica: A Large Language Model for Sciencecited by 744
  10. 2023Foundation Models for Decision Making: Problems, Methods, and Opportunitiescited by 164
  11. 2019Global optimization of dielectric metasurfaces using a physics-driven neural networkcited by 30

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Citing papers per year: 2023: 1; 2024: 1; 2025: 6; 2026: 5.

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