Dense Ag-PVP based Nanowire Networks | ICMAB Seminar

By Pablo Levy, CNEA
Abstract
We study the resistive switching effect on dense metallic self assembled nanowire networks, a commonly used material for transparent electrodes. The injection of high current into over-percolated samples produces a transition to a still percolated regime in which conductive filaments connect and disconnect nanowires, unveiling resistive switching between states of definite resistance. The resulting circuit is modeled as a random network consisting of resistors and memristors. The dynamics of the formation and disruption of filaments unveils collective properties of the system. As nanowire networks can emulate synaptic processes, neuromorphic computation capabilities with the additional functionality of transparency are envisaged.
Short bio
Pablo Levy (born 1962) is Independent Research Professor at CNEA, CONICET and UNSAM (Argentina), where he presently leads research at the Devices and Sensors Group (CNEA-Bariloche), and at the School of Science and Technology (UNSAM-Buenos Aires). His professional interest focuses on device physics: electrical transport in condensed matter (experimental and modelling). He is co-author of more than 100 publications, has supervised 12 PhD Theses and has been the leader of several research projects (Manganitas, MeMO, LaboSat, CEpAS, NeNA, RdM) and related conferences (MMMM06, EPICO2012, WAS2018). His work has focused on the fabrication and characterization of emerging electronic devices for applications in hostile environments (aerospace, nuclear) and memristors for neuromorphic computing.
His most recent publication related to the present talk focuses on nanostructure ensembles (Ag-NWs in polymer matrix) as composite materials to emulate the collective behavior of large amounts of synapses (see “Resistive Switching of Self-Assembled Silver Nanowire Networks Governed by Environmental Conditions”, J.I.Diaz Schneider et al., Adv. Electron.Mater. 2022, 8, 2200631. doi.org/10.100....
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