Mapping and Tracking Conductivity in Memristive Nanowire Networks With Electrical Resistance Tomography

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Authors: Alessandro Cultrera, Gianluca Milano, Carlo Ricciardi, Luca Callegaro
Cited by: 1
References: 38

Abstract

In recent years, Electrical Resistance Tomography (ERT) has been successfully applied to map the conductivity of thin-film materials and graphene. Beyond the mapping of static conductivity distribution, ERT is proposed as a new valuable tool for the characterisation of memristive materials that present a dynamic behaviour, where the conductivity evolves over time depending on the external stimulation. In this work, we show that ERT can provide insight into both the conductivity distribution and its time-evolution in memristive metallic nanowire networks, enabling visualization of induced conductive traces in samples potentiated by means of the ERT setup itself.

Fields of Study & Subjects

Advanced Memory and Neural Computing Electrochemical Analysis and Applications Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
IEEE Open Journal of Instrumentation and Measurement
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
5
Pages
6000109–6000109
Publication date
1 January 2026
Language
EN