High Frequency Response of Volatile Memristors
Ioannis Messaris, Alon Ascoli, Ahmet S. Demirkol, Vasileios Ntinas,, Dimitrios Prousalis, and Ronald Tetzlaff

TL;DR
This paper provides an analytical framework for understanding the high-frequency electrical response of NbO2-Mott volatile memristors, revealing multiple oscillatory behaviors and linear resistor-like operation during high-frequency signals.
Contribution
It introduces analytical equations describing the high-frequency response and temperature dynamics of NbO2-Mott memristors, applicable to a broad class of volatile electrothermal switches.
Findings
Up to three steady-state oscillatory behaviors identified.
Device temperature oscillates minimally at high frequency.
Devices behave as linear resistors during each cycle.
Abstract
In this theoretical study, we focus on the high-frequency response of the electrothermal NbO2-Mott threshold switch, a real-world electronic device, which has been proved to be relevant in several applications and is classified as a volatile memristor. Memristors of this kind, have been shown to exhibit distinctive non-linear behaviors crucial for cutting-edge neuromorphic circuits. In accordance with well-established models for these devices, their resistances depend on their body temperatures, which evolve over time following Newton's Law of Cooling. Here, we demonstrate that HP's NbO2-Mott memristor can manifest up to three distinct steady-state oscillatory behaviors under a suitable high-frequency periodic voltage input, showcasing increased versatility despite its volatile nature. Additionally, when subjected to a high-frequency periodic voltage signal, the device body temperature…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Memory and Neural Computing · stochastic dynamics and bifurcation · Neural dynamics and brain function
