# Constructing Two-Dimensional, Ordered Networks of Carbon–Carbon Bonds with Precision

https://mdr.nims.go.jp/datasets/01402355-a23e-4af9-8314-68ce438f6d14

## File

- [fu-et-al-2024-constructing-two-dimensional-ordered-networks-of-carbon-carbon-bonds-with-precision.pdf](https://mdr.nims.go.jp/filesets/608a982a-1be6-4d53-89a4-260c3c38facc/download) ([Detail](https://mdr.nims.go.jp/filesets/608a982a-1be6-4d53-89a4-260c3c38facc.md))

## Id

01402355-a23e-4af9-8314-68ce438f6d14

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-03-11T08:45:13.392322Z

## Updated at

2025-03-12T07:30:29.117320Z

## Published at

2025-03-12T07:30:29.217001Z

## Doi



## First published url

https://doi.org/10.1021/prechem.4c00070

## Date published

2025-01-27

## Recorded date published

2025-1-27

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Constructing Two-Dimensional, Ordered Networks of Carbon–Carbon Bonds with
    Precision
  title_type: original
  lang: en

## Description

- description: Organic semiconducting nanomembranes (SNMs), particularly carbon-based
    ones, are at the forefront of next-generation two-dimensional (2D) semiconductor
    research. These materials offer remarkable promise due to their diverse chemical
    properties and unique functionalities, paving the way for innovative applications
    across advanced semiconductor material sectors. Graphene stands out for its extraordinary
    mechanical strength, thermal conductivity, and superior charge transport capabilities,
    inspiring extensive research into other 2D carbon allotropes like graphyne and
    graphdiyne. With its high electron mobility and tunable bandgap, graphdiyne is
    particularly attractive for power-efficient electronic devices. However, synthesizing
    graphdiyne presents significant challenges, primarily due to the difficulty in
    achieving precise and deterministic control over the coupling of its monomers.
    This precision is crucial for determining the material’s porosity, periodicity,
    and overall functionality. Innovative approaches have been developed to address
    these challenges, such as the strategic assembly of molecular building blocks
    at heterogeneous interfaces. Furthermore, data-driven techniques, such as machine
    learning and artificial intelligence (AI), are proving invaluable in this field,
    assisting in screening precursors, optimizing structural configurations, and predicting
    novel properties of these materials. These advancements are essential for producing
    durable monolayer sheets that can be integrated into existing electronic components.
    Despite these advancements, the integration of graphdiyne into semiconductor technology
    remains complex. Achieving long-range coherence in bonding configurations and
    enhancing charge transport characteristics are significant hurdles. Continued
    research into robust and controllable synthesis techniques is essential for unlocking
    the full potential of graphdiyne and other 2D materials, leading to more efficient,
    faster, and mechanically robust electronics.
  description_type: abstract
  lang: und

## Creator

- name: Jui-Han Fu
  role: author
- name: De-Chian Chen
  role: author
- name: Yen-Ju Wu
  role: author
  orcid: https://orcid.org/0000-0003-2647-3407
  organization: National Institute for Materials Science
- name: Vincent Tung
  role: author

## Contact agent



## Publisher

organization: American Chemical Society (ACS)

## Managing organization



## Keyword

- subject: organic semiconductors
  schema: not_defined
- subject: two-dimensional
  schema: not_defined
- subject: graphene
  schema: not_defined
- subject: graphyne
  schema: not_defined
- subject: graphdiyne
  schema: not_defined

## Rights

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

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## Data origin



## Embargo



## Journal

- title: Precision Chemistry
  issn: '27719316'
  volume: '3'
  issue: '1'
  start_page: 3
  end_page: 9

## Conference



## Related item



## Funding

- identifier: 23H00253
  funder_name: Japan Society for the Promotion of Science
- identifier: 24K21233
  funder_name: Japan Society for the Promotion of Science
- identifier: JPMJCR24A3
  funder_name: Japan Science and Technology Agency
- identifier: JPMJGX23H2
  funder_name: Japan Science and Technology Agency
- funder_name: University of Tokyo

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## Fileset

- id: 608a982a-1be6-4d53-89a4-260c3c38facc
  filename: fu-et-al-2024-constructing-two-dimensional-ordered-networks-of-carbon-carbon-bonds-with-precision.pdf
  content_type: application/pdf
  size: 5251205
  md5: c21b69c5c1a2b404a169569b78774d08

## Thumbnail

fileset_id: 608a982a-1be6-4d53-89a4-260c3c38facc
filename: fu-et-al-2024-constructing-two-dimensional-ordered-networks-of-carbon-carbon-bonds-with-precision.pdf