Article Generative-AI-assisted knowledge-based augmented exploration in nanophotonics

Masanobu Iwanaga SAMURAI ORCID (Research Center for Electronic and Optical Materials/Optical Materials Field/Nanophotonics Group, National Institute for Materials Science) ; Keisuke Watanabe SAMURAI ORCID (Research Center for Materials Nanoarchitectonics (MANA)/Semiconductor Materials Field/Photonics Nano Engineering Group, National Institute for Materials Science)

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Masanobu Iwanaga, Keisuke Watanabe. Generative-AI-assisted knowledge-based augmented exploration in nanophotonics. Science and Technology of Advanced Materials-Methods. 2025, 5 (1), 2596940-2596940. https://doi.org/10.1080/27660400.2025.2596940

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(abstract)

It is generally difficult to obtain valuable scientific findings without sufficient background knowledge or experience. Exploiting generative AI (genAI) and reliable computational method(s) strategically is expected to reduce the difficulty and attain scientific findings beyond human knowledge and experience. Here, we introduce a new approach that initially relies on a substantial amount of scientific literature to eliminate hallucinations, prepares metadata from the literature using genAIs, conducts retrieval augmented generation using a genAI, implements genAI-driven generations of concrete candidates of nanostructures, and evaluates the candidates quantitatively, which contain extended sets of structural parameters, by implementing a scientifically established simulation method. This genAI-assisted nonempirical approach has been applied in the field of nanophotonics, enabling the exploration of single-layer circular dichroic (CD) all-dielectric metasurfaces in telecom bands. We successfully revealed single-layer perfect CD metasurfaces, which have never been attained so far. The perfect CD metasurfaces are thin with subwavelength thickness in the near-infrared bands, are feasible in a semiconductor nanofabrication process, and significantly enlarge degrees of freedom in light-wave manipulations for telecom applications.

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Keyword: generative AI, retrieval augmented generation, nonempirical exploration, nanophotonics, chiral metasurface, circular dichroism

Date published: 2025-12-31

Publisher: Informa UK Limited

Journal:

  • Science and Technology of Advanced Materials-Methods (ISSN: 27660400) vol. 5 issue. 1 p. 2596940-2596940

Funding:

  • NIMS AI-use Research Project Generative AI-use Research Project
  • JSPS KAKENHI JP24K01389

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2025.2596940

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Updated at: 2025-12-19 16:31:37 +0900

Published on MDR: 2025-12-19 14:11:32 +0900

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