Memristive devices are considered one of the most promising candidates to overcome technological limitations for realizing next-generation memories, logic applications, and neuromorphic systems in the modern nanoelectronics and information technology. Despite the continuous efforts, understanding the resistive switching mechanism underlying memristive/neuromorphic behavior still represents a challenge. Metal oxide nanowire-based memristors appear suitable model systems for a deeper understanding of the involved physical/chemical phenomena due the possibility for localizing and investigating the switching mechanism. In practical aspects, nanowire-based devices can be grown using a bottom-up approach, thus being considered reliable candidates for going beyond the current scaling limitations of the top-down approach by the standard lithography. In addition, taking into advantage of the high surface-to-volume ratio of these nanostructures, new device functionalities can be achieved by exploiting surface effects. In the literature, a variety of nanowire-based devices such as single nanowires, nanowire arrays, and networks are reported to exhibit memristive behavior, explained by different switching mechanisms. This work provides a comparative review and a comprehensive analysis of device performances and physical phenomena responsible for memristive and neuromorphic behavior in such nanostructures. The analysis of the state-of-art of memristor devices based on nanowires and nanorods represent a milestone toward the development of nanowire-based artificial neural networks.
Recent Developments and Perspectives for Memristive Devices Based on Metal Oxide Nanowires / Milano, Gianluca; Porro, Samuele; Valov, Ilia; Ricciardi, Carlo. - In: ADVANCED ELECTRONIC MATERIALS. - ISSN 2199-160X. - ELETTRONICO. - (2019), p. 1800909. [10.1002/aelm.201800909]
Recent Developments and Perspectives for Memristive Devices Based on Metal Oxide Nanowires
Milano, Gianluca;Porro, Samuele;Ricciardi, Carlo
2019
Abstract
Memristive devices are considered one of the most promising candidates to overcome technological limitations for realizing next-generation memories, logic applications, and neuromorphic systems in the modern nanoelectronics and information technology. Despite the continuous efforts, understanding the resistive switching mechanism underlying memristive/neuromorphic behavior still represents a challenge. Metal oxide nanowire-based memristors appear suitable model systems for a deeper understanding of the involved physical/chemical phenomena due the possibility for localizing and investigating the switching mechanism. In practical aspects, nanowire-based devices can be grown using a bottom-up approach, thus being considered reliable candidates for going beyond the current scaling limitations of the top-down approach by the standard lithography. In addition, taking into advantage of the high surface-to-volume ratio of these nanostructures, new device functionalities can be achieved by exploiting surface effects. In the literature, a variety of nanowire-based devices such as single nanowires, nanowire arrays, and networks are reported to exhibit memristive behavior, explained by different switching mechanisms. This work provides a comparative review and a comprehensive analysis of device performances and physical phenomena responsible for memristive and neuromorphic behavior in such nanostructures. The analysis of the state-of-art of memristor devices based on nanowires and nanorods represent a milestone toward the development of nanowire-based artificial neural networks.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2728774