De-densifying metallic nanowire networks using betweenness centrality
Silver nanowire networks show great promise as transparent conductors, but many nanowires in these materials participate only meagerly in conduction. Using graph theoretic measures to rank the importance of different nanowires, we show that such networks can be strategically de-densified to well bel...
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Published in | Computational materials science Vol. 214; p. 111683 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Silver nanowire networks show great promise as transparent conductors, but many nanowires in these materials participate only meagerly in conduction. Using graph theoretic measures to rank the importance of different nanowires, we show that such networks can be strategically de-densified to well below the percolation threshold while maintaining low resistance. This de-densification improves the network’s figure of merit by nearly 30% and reaches 70% of the theoretical maximum performance. The mathematical methods applied here are sufficiently general to apply to any networked material in which there is a non-monotonic relationship between density and performance.
•Betweenness based techniques can be applied to any networked material.•In nanowire networks, low centrality elements contribute little to conduction.•Removing low centrality elements enhances TCE figure of merit by 30%. |
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ISSN: | 0927-0256 1879-0801 |
DOI: | 10.1016/j.commatsci.2022.111683 |