Thermal tuning of dynamic response in Ag-based nanowire networks

Fuente: arXiv
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Autores principales: Schneider, J. I. Diaz, Gomez, C., Acha, C., Levy, P. E., Martínez, E. D., Quinteros, C. P.
Formato: Preprint
Publicado: 2025
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author Schneider, J. I. Diaz
Gomez, C.
Acha, C.
Levy, P. E.
Martínez, E. D.
Quinteros, C. P.
author_facet Schneider, J. I. Diaz
Gomez, C.
Acha, C.
Levy, P. E.
Martínez, E. D.
Quinteros, C. P.
contents Self-assembled networks of metallic nanowires (NWs) are being intensively explored as test benches for neuromorphic proposals. In this work, we study the electric transport properties of dense self-assembled networks of Ag-based NWs (AgNWNs) coated with a thin insulating layer, using DC and AC stimuli. The building blocks of this network are the metallic NWs and the NW-NW junctions, either metallic or memristive. In the pristine state, frequency independence of the impedance reveals an over-percolated purely resistive network. A combination of low-temperature annealing and AC stimulus is shown to drastically affect the resistivity of the sample (interpreted as a depopulation of purely metallic junctions), unveiling a rich dynamic response. This procedure triggers the achievement of a capacitive response, which is successfully rationalized using a previously introduced 'two junction model'. Thermal treatment appears to be an indirect strategy to effectively modify the humidity content at the NW-NW intersections and, consequently, enable multiple switching schemes suitable for brain-like processing alternatives.
format Preprint
id arxiv_https___arxiv_org_abs_2511_01792
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Thermal tuning of dynamic response in Ag-based nanowire networks
Schneider, J. I. Diaz
Gomez, C.
Acha, C.
Levy, P. E.
Martínez, E. D.
Quinteros, C. P.
Materials Science
Computational Physics
Self-assembled networks of metallic nanowires (NWs) are being intensively explored as test benches for neuromorphic proposals. In this work, we study the electric transport properties of dense self-assembled networks of Ag-based NWs (AgNWNs) coated with a thin insulating layer, using DC and AC stimuli. The building blocks of this network are the metallic NWs and the NW-NW junctions, either metallic or memristive. In the pristine state, frequency independence of the impedance reveals an over-percolated purely resistive network. A combination of low-temperature annealing and AC stimulus is shown to drastically affect the resistivity of the sample (interpreted as a depopulation of purely metallic junctions), unveiling a rich dynamic response. This procedure triggers the achievement of a capacitive response, which is successfully rationalized using a previously introduced 'two junction model'. Thermal treatment appears to be an indirect strategy to effectively modify the humidity content at the NW-NW intersections and, consequently, enable multiple switching schemes suitable for brain-like processing alternatives.
title Thermal tuning of dynamic response in Ag-based nanowire networks
topic Materials Science
Computational Physics
url https://arxiv.org/abs/2511.01792