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

https://mdr.nims.go.jp/datasets/daee18f5-0804-4d7a-aea5-eb33a1da8077

## File

- [Iwanaga_Watanabe_STAM-M5(2025)2596940.pdf](https://mdr.nims.go.jp/filesets/5360bfc5-0e45-4017-8ebe-87ab736c1ace/download) ([Detail](https://mdr.nims.go.jp/filesets/5360bfc5-0e45-4017-8ebe-87ab736c1ace.md))

## Id

daee18f5-0804-4d7a-aea5-eb33a1da8077

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-12-19T01:01:53.851493Z

## Updated at

2025-12-19T07:31:37.121761Z

## Published at

2025-12-19T05:11:32.045858Z

## Doi



## First published url

https://doi.org/10.1080/27660400.2025.2596940

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Generative-AI-assisted knowledge-based augmented exploration in nanophotonics
  title_type: original
  lang: en

## Description

- description: 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.
  description_type: abstract
  lang: eng

## Creator

- name: Masanobu Iwanaga
  role: author
  orcid: https://orcid.org/0000-0002-8930-6940
  organization: National Institute for Materials Science
  department: Research Center for Electronic and Optical Materials/Optical Materials
    Field/Nanophotonics Group
- name: Keisuke Watanabe
  role: author
  orcid: https://orcid.org/0000-0002-4285-2135
  organization: National Institute for Materials Science
  department: Research Center for Materials Nanoarchitectonics (MANA)/Semiconductor
    Materials Field/Photonics Nano Engineering Group

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: generative AI
  schema: not_defined
- subject: retrieval augmented generation
  schema: not_defined
- subject: nonempirical exploration
  schema: not_defined
- subject: nanophotonics
  schema: not_defined
- subject: chiral metasurface
  schema: not_defined
- subject: circular dichroism
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Science and Technology of Advanced Materials-Methods
  issn: '27660400'
  volume: '5'
  issue: '1'
  start_page: 2596940
  end_page: 2596940

## Conference



## Related item



## Funding

- identifier: Generative AI-use Research Project
  funder_name: NIMS AI-use Research Project
- identifier: JP24K01389
  funder_name: JSPS KAKENHI

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## Fileset

- id: 5360bfc5-0e45-4017-8ebe-87ab736c1ace
  filename: Iwanaga_Watanabe_STAM-M5(2025)2596940.pdf
  content_type: application/pdf
  size: 10639924
  md5: 41dac682578d42a752cb73cf6611cde2

## Thumbnail

fileset_id: 5360bfc5-0e45-4017-8ebe-87ab736c1ace
filename: Iwanaga_Watanabe_STAM-M5(2025)2596940.pdf