Semiempirical Modeling of Reset Transitions in Unipolar Resistive-Switching Based Memristors
Rodrigo Picos, Juan Bautista Roldan, Mohamed Moner Al Chawa, Pedro, Garcia-Fernandez, Francisco Jimenez-Molinos, Eugeni Garcia-Moreno

TL;DR
This paper investigates the reset transition in Ni/HfO2/Si-n+ memristors, developing a simple semiempirical model based on charge-flux domain analysis that captures the variability and key characteristics of the switching process.
Contribution
It introduces a novel semiempirical analytical model for reset transitions in resistive switching memristors using charge-flux domain parameters.
Findings
The model describes reset transitions with only three parameters.
Charge-flux plots reduce variability in the data.
Strong correlation found among model parameters.
Abstract
We have measured the transition process from the high to low resistivity states, i.e., the reset process of resistive switching based memristors based on Ni/HfO2/Si-n+ structures, and have also developed an analytical model for their electrical characteristics. When the characteristic curves are plotted in the current-voltage (I-V) domain a high variability is observed. In spite of that, when the same curves are plotted in the charge-flux domain (Q-f), they can be described by a simple model containing only three parameters: the charge (Qrst) and the flux (frst) at the reset point, and an exponent, n, relating the charge and the flux before the reset transition. The three parameters can be easily extracted from the Q-f plots. There is a strong correlation between these three parameters, the origin of which is still under study.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering
