Morphological Characterisation of Printed Nanostructured Networks using High-resolution 3D FIB-SEM Nanotomography Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2723977/v1
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 FIB-SEM nanotomography to quantitatively characterise the morphology of nanostructured networks and their devices using nanometre-resolution 3D images. The influence of nanosheet/nanowire size on network structure in printed films of graphene, WS 2 and silver nanosheets, as well as networks of silver nanowires, 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 vertical printed heterostacks, we demonstrate the potential of this technique for device characterisation and optimisation.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2723977/v1
- https://www.researchsquare.com/article/rs-2723977/latest.pdf
- OA Status
- green
- Cited By
- 3
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362606199
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4362606199Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-2723977/v1Digital Object Identifier
- Title
-
Morphological Characterisation of Printed Nanostructured Networks using High-resolution 3D FIB-SEM NanotomographyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-05Full publication date if available
- Authors
-
Cian Gabbett, Luke Doolan, Kevin Synnatschke, Laura Gambini, Emmett Coleman, Adam G. Kelly, Shixin Liu, Eoin Caffrey, Jose Munuera, Catríona Murphy, Stefano Sanvito, Lewys Jones, Jonathan N. ColemanList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2723977/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-2723977/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-2723977/latest.pdfDirect OA link when available
- Concepts
-
Materials science, High resolution, 3d printed, Nanotechnology, Resolution (logic), Computer science, Artificial intelligence, Biomedical engineering, Engineering, Geology, Remote sensingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
70Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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