Geometrical properties of 3D crossed nanowire networks Article Swipe
Tristan da Câmara Santa Clara Gomes
,
Nicolas Marchal
,
Anatole Moureaux
,
Simon de Wergifosse
,
Chloé Chopin
,
Luc Piraux
,
Joaquín de la Torre Medina
,
Flavio Abreu Araujo
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2401.06158
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2401.06158
Three-dimensional interconnected nanowire networks have recently attracted notable attention for the fabrication of new devices for energy harvesting/storage, sensing, catalysis, magnetic and spintronic applications and for the design of new hardware neuromorphic computing architectures. However, the complex branching of these nanowire networks makes it challenging to investigate these 3D nanostructured systems theoretically. Here, we present a theoretical description and simulations of the geometric properties of these 3D interconnected nanowire networks with selected characteristics. Our analysis reveals that the nanowire segment length between two crossing zones follows an exponential distribution. This suggests that shorter nanowire segments have a more pronounced influence on the nanowire network properties compared to their longer counterparts. Moreover, our observations reveal a homogeneous distribution in the smallest distance between the cores of two crossing nanowires. The results are highly reproducible and unaffected by changes in the nanowire network characteristics. The density of crossing zones and interconnected nanowire segments are found to vary as the square of the nanowire density multiplied by their diameter, further multiplied by a factor dependent on the packing factor. Finally, densities of interconnected segments up to 10$^{13}$ cm$^{-2}$ can be achieved for 22-$μ$m-thick nanowire networks with high packing factors. This has important implications for neuromorphic computing applications, suggesting that the realization of 10$^{14}$ interconnections, which corresponds to the approximate number of synaptic connections in the human brain, is achievable with a nanowire network of about 10 cm$^{2}$.
Related Topics
Concepts
Nanowire
Neuromorphic engineering
Materials science
Nanotechnology
Realization (probability)
Homogeneous
Spintronics
Topology (electrical circuits)
Computer science
Artificial neural network
Physics
Condensed matter physics
Statistical physics
Mathematics
Electrical engineering
Engineering
Artificial intelligence
Ferromagnetism
Statistics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2401.06158
- https://arxiv.org/pdf/2401.06158
- OA Status
- green
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390897274
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390897274Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2401.06158Digital Object Identifier
- Title
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Geometrical properties of 3D crossed nanowire networksWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-21Full publication date if available
- Authors
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Tristan da Câmara Santa Clara Gomes, Nicolas Marchal, Anatole Moureaux, Simon de Wergifosse, Chloé Chopin, Luc Piraux, Joaquín de la Torre Medina, Flavio Abreu AraujoList of authors in order
- Landing page
-
https://arxiv.org/abs/2401.06158Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2401.06158Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2401.06158Direct OA link when available
- Concepts
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Nanowire, Neuromorphic engineering, Materials science, Nanotechnology, Realization (probability), Homogeneous, Spintronics, Topology (electrical circuits), Computer science, Artificial neural network, Physics, Condensed matter physics, Statistical physics, Mathematics, Electrical engineering, Engineering, Artificial intelligence, Ferromagnetism, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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