Variability in Resistive Memories

Resistive memories are outstanding electron devices that have displayed a large potential in a plethora of applications such as nonvolatile data storage, neuromorphic computing, hardware cryptography, etc. Their fabrication control and performance have been notably improved in the last few years to...

Full description

Bibliographic Details
Authors: Roldán, Juan B., Miranda, Enrique, Maldonado, David, Mikhaylov, Alexey N., Agudov, Nikolay V., Dubkov, Alexander A., Koryazhkina, Maria N., González, Mireia B., Villena, Marco A., Poblador, Samuel, Saludes-Tapia, Mercedes, Picos, Rodrigo, Jiménez-Molinos, Francisco, Stavrinides, Stavros G., Salvador, Emili, Alonso, Francisco J., Campabadal, Francesca, Spagnolo, Bernardo, Lanza, Mario, Chua, Leon O.
Format: article
Status:Published version
Publication Date:2023
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/347654
Online Access:http://hdl.handle.net/10261/347654
https://api.elsevier.com/content/abstract/scopus_id/85164343347
Access Level:Open access
Keyword:2D materials | experimental characterization | memristor | modeling | resistive memory | resistive switching | variability
Description
Summary:Resistive memories are outstanding electron devices that have displayed a large potential in a plethora of applications such as nonvolatile data storage, neuromorphic computing, hardware cryptography, etc. Their fabrication control and performance have been notably improved in the last few years to cope with the requirements of massive industrial production. However, the most important hurdle to progress in their development is the so-called cycle-to-cycle variability, which is inherently rooted in the resistive switching mechanism behind the operational principle of these devices. In order to achieve the whole picture, variability must be assessed from different viewpoints going from the experimental characterization to the adequation of modeling and simulation techniques. Herein, special emphasis is put on the modeling part because the accurate representation of the phenomenon is critical for circuit designers. In this respect, a number of approaches are used to the date: stochastic, behavioral, mesoscopic.., each of them covering particular aspects of the electron and ion transport mechanisms occurring within the switching material. These subjects are dealt with in this review, with the aim of presenting the most recent advancements in the treatment of variability in resistive memories.