Title
Probabilistic Resistive Switching Device Modeling Based on Markov Jump Processes
Abstract
In this work, a versatile mathematical framework for multi-state probabilistic modeling of Resistive Switching (RS) devices is proposed for the first time. The mathematical formulation of memristor and Markov jump processes are combined and, by using the notion of master equations for finite-states, the inherent probabilistic time-evolution of RS devices is sufficiently modeled. In particular, the methodology is generic enough and can be applied for N states; as a proof of concept, the proposed framework is further stressed for both a two-state RS paradigm, namely N = 2, and a multi-state device, namely N = 4. The presented I-V results demonstrate in a qualitative and quantitative manner, adequate matching with other modeling approaches.
Year
DOI
Venue
2021
10.1109/ACCESS.2020.3042012
IEEE Access
Keywords
DocType
Volume
ReRAM devices,probabilistic modeling,Markov processes,cycle-to-cycle variability
Journal
9
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Vasileios G. Ntinas1166.78
Antonio Rubio24216.60
Sirakoulis Georgios Ch.330660.41