Electrical Resistance Tomography for the investigation of memristive nanowire networks
In the 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, with tunable conductivity. In this work, we show that ERT can get insight into both the conductivity distribution and its time-evolution in memristive metallic nanowire networks, enabling the visualization of induced conductive traces on samples potentiated by means of the ERT setup itself.
Authors
- Gianluca Milano (ORCID: https://orcid.org/0000-0002-1983-6516)
- Carlo Ricciardi (ORCID: https://orcid.org/0000-0002-4703-7949)
- Alessandro Cultrera (ORCID: https://orcid.org/0000-0001-8965-9116)
- Luca Callegaro (ORCID: https://orcid.org/0000-0001-5997-9960)
Institutions
- Politecnico di Torino (IT)
- Istituto Nazionale di Ricerca Metrologica (IT)
Publication Details
- Journal
- CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/i2mtc62753.2025.11079143
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- HORIZON EUROPE Framework Programme