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Evaluating Plasmonic Transport in Current-carrying Silver Nanowires
Published on: December 11, 2013
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Ultimate conductivity performance in metallic nanowire networks
Claudia Gomes da Rocha1, Hugh G Manning, Colin O'Callaghan
1School of Physics, Trinity College Dublin, Dublin 2, Ireland.
Nanoscale
|July 15, 2015
Summary
This study presents a novel simulation method for metallic nanowire networks, offering a more accurate way to predict conductivity. The approach precisely models real network geometry, improving performance predictions.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Electrical Engineering
Background:
- Metallic nanowire networks are crucial for conductive materials.
- Their disordered nature complicates conductivity analysis, often relying on simplified junction models.
Purpose of the Study:
- To develop a precise computational model for metallic nanowire network conductivity.
- To account for the detailed geometry of real networks, moving beyond simplified models.
Main Methods:
- Combined experimental (SEM analysis) and computational (wire-by-wire, junction-by-junction simulation) approach.
- Utilized actual network spatial distribution from SEM data for simulation accuracy.
Main Results:
- The model predicts lower characteristic junction resistances compared to simplified models.
- Outputs are dependent on detailed network connectivity, enabling performance comparisons.
Conclusions:
- The developed model offers a more accurate description of nanowire network conductivity.
- It provides a tool for comparing network performance and predicting optimization potential.
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