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Quantitative analysis of printed nanostructured networks using high-resolution 3D FIB-SEM nanotomography

Author

Listed:
  • Cian Gabbett

    (Trinity College Dublin)

  • Luke Doolan

    (Trinity College Dublin)

  • Kevin Synnatschke

    (Trinity College Dublin)

  • Laura Gambini

    (Trinity College Dublin)

  • Emmet Coleman

    (Trinity College Dublin)

  • Adam G. Kelly

    (Trinity College Dublin)

  • Shixin Liu

    (Trinity College Dublin)

  • Eoin Caffrey

    (Trinity College Dublin)

  • Jose Munuera

    (Trinity College Dublin
    University of Oviedo, C/ Leopoldo Calvo Sotelo, 18)

  • Catriona Murphy

    (Trinity College Dublin)

  • Stefano Sanvito

    (Trinity College Dublin)

  • Lewys Jones

    (Trinity College Dublin)

  • Jonathan N. Coleman

    (Trinity College Dublin)

Abstract

Networks of solution-processed nanomaterials are becoming increasingly important across applications in electronics, sensing and energy storage/generation. Although the physical properties of these devices are often completely dominated by network morphology, the network structure itself remains difficult to interrogate. Here, we utilise focused ion beam – scanning electron microscopy nanotomography (FIB-SEM-NT) to quantitatively characterise the morphology of printed nanostructured networks and their devices using nanometre-resolution 3D images. The influence of nanosheet/nanowire size on network structure in printed films of graphene, WS2 and silver nanosheets (AgNSs), as well as networks of silver nanowires (AgNWs), is investigated. We present a comprehensive toolkit to extract morphological characteristics including network porosity, tortuosity, specific surface area, pore dimensions and nanosheet orientation, which we link to network resistivity. By extending this technique to interrogate the structure and interfaces within printed vertical heterostacks, we demonstrate the potential of this technique for device characterisation and optimisation.

Suggested Citation

  • Cian Gabbett & Luke Doolan & Kevin Synnatschke & Laura Gambini & Emmet Coleman & Adam G. Kelly & Shixin Liu & Eoin Caffrey & Jose Munuera & Catriona Murphy & Stefano Sanvito & Lewys Jones & Jonathan N, 2024. "Quantitative analysis of printed nanostructured networks using high-resolution 3D FIB-SEM nanotomography," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44450-1
    DOI: 10.1038/s41467-023-44450-1
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    References listed on IDEAS

    as
    1. Zhaoyang Lin & Yuan Liu & Udayabagya Halim & Mengning Ding & Yuanyue Liu & Yiliu Wang & Chuancheng Jia & Peng Chen & Xidong Duan & Chen Wang & Frank Song & Mufan Li & Chengzhang Wan & Yu Huang & Xiang, 2018. "Solution-processable 2D semiconductors for high-performance large-area electronics," Nature, Nature, vol. 562(7726), pages 254-258, October.
    2. Kewen Pan & Yangyang Fan & Ting Leng & Jiashen Li & Zhiying Xin & Jiawei Zhang & Ling Hao & John Gallop & Kostya S. Novoselov & Zhirun Hu, 2018. "Sustainable production of highly conductive multilayer graphene ink for wireless connectivity and IoT applications," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    3. Ruiyuan Tian & Sang-Hoon Park & Paul J. King & Graeme Cunningham & João Coelho & Valeria Nicolosi & Jonathan N. Coleman, 2019. "Quantifying the factors limiting rate performance in battery electrodes," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
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