# Fine-tuning of plasmonics by Au@AuY/Au core-shell nanoparticle monolayer for enhancement of third-order nonlinearity

https://mdr.nims.go.jp/datasets/2f43efed-4950-47f1-adb2-d4418733ee84

## Download

- [ApplSurfSci-AuY-NPs2023.pdf](https://mdr.nims.go.jp/filesets/96272807-a191-4a57-8e83-4ae026cf4f43/download)

## Id

2f43efed-4950-47f1-adb2-d4418733ee84

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-05-26T03:17:21.068224Z

## Updated at

2024-02-28T07:30:10.332240Z

## Published at

2024-02-28T07:30:10.786977Z

## Doi



## First published url

https://doi.org/10.1016/j.apsusc.2023.157582

## Date published

2023-05-22

## Recorded date published

2023-9

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Fine-tuning of plasmonics by Au@AuY/Au core-shell nanoparticle monolayer
    for enhancement of third-order nonlinearity
  title_type: original
  lang: en

## Description

- description: A novel self-assembled Au@AuY-core/Au-shell nanoparticle (Au@AuY/Au
    NP) monolayer is proposed for the fine-tuning of plasmonics and enhanced third-order
    nonlinearity. Based on the different thermodynamics mechanisms of Au and Y ions,
    the compact Au@AuY/Au core-shell architectures are designed and surface-modified
    in fused silica (SiO2) with enhanced free electron density, mobility, and quantum
    size effect. The flexible modulation of plasmonics is realized, resulting in significant
    absorption enhancement (165% for interband absorption and 38% for free electron
    absorption, respectively) and fine-tuning of the localized surface plasma resonance
    (LSPR) band. In addition, the physical mechanism is investigated by density functional
    theory (DFT) and Mie theory, which reveals a transition from size-independence
    to size-dependence of LSPR owing to the synergistic effect of multiple physical
    factors such as free electron density and mobility. With the above advantages,
    the third-order nonlinearity is enhanced by 4.4 times compared with traditional
    Au NPs. It indicates the significant potential of Au@AuY/Au core-shell NP monolayer
    in the performance improvement of nonlinear photonic devices.
  description_type: abstract
  lang: eng

## Creator

- name: Yong Liu
  role: author
- name: Chi Pang
  role: author
- name: Hiroshi Amekura
  role: author
  orcid: https://orcid.org/0000-0003-2148-8431
  organization: National Institute for Materials Science
- name: Thomas Schumann
  role: author
- name: Peng Liu
  role: author
- name: Zhixian Wei
  role: author
- name: Haocheng Liu
  role: author
- name: Rang Li
  role: author
  orcid: https://orcid.org/0000-0002-4696-3342

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: plasmonics
  schema: not_defined
- subject: core-shell alloy nanostructure
  schema: not_defined
- subject: localized surface plasmon resonance
  schema: not_defined
- subject: third-order nonlinerity
  schema: not_defined
- subject: sequential ion implantation
  schema: not_defined

## Rights

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

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: APPLIED SURFACE SCIENCE
  issn: '01694332'
  volume: '631'
  start_page: 157582
  end_page: 157582

## Conference



## Related item



## Funding

- identifier: 22K04990
  funder_name: JSPS

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 96272807-a191-4a57-8e83-4ae026cf4f43
  filename: ApplSurfSci-AuY-NPs2023.pdf
  content_type: application/pdf
  size: 19671803
  md5: cbb1b50448e69333dbc1e686b88bb9e6

## Thumbnail

fileset_id: 96272807-a191-4a57-8e83-4ae026cf4f43
filename: ApplSurfSci-AuY-NPs2023.pdf