"Tracking the Evolution of Crossings in Memristive Hysteresis Responses" by Eric Neuhaus

Date of Award

5-2025

Document Type

Thesis

Degree Name

Bachelor of Science

Department

Physics

First Advisor

Dr. Ovidiu Lipan

Second Advisor

Dr. Jack Singal

Abstract

A memristive device has an internal resistance that depends on the history of the applied voltage signal. This dependence gives rise to a pinched hysteresis loop in its current-voltage (I-V) characteristic, a property of resistive switching.

Beyond the crossing at the origin, additional crossings can emerge throughout the loop.

Our computational model simulates the current-voltage response of a memristive device under a sinusoidal voltage. We apply techniques from catastrophe theory to perform parametric analysis, assessing how intrinsic parameters influence the emergence of additional crossings. From there, we introduce a voltage transformation parameter to continuously transition the signal to a symmetric triangular waveform, followed by a second transformation parameter to incorporate asymmetry.

This approach enables us to quantify how variations in the voltage signal and intrinsic device parameters shape its hysteresis. Results demonstrated agreement between crossing numbers predicted by the parameter space regions and those that appeared in corresponding hysteresis responses. Additionally, waveform transformation plots have shown the influence of the voltage signal waveform on changing crossing numbers and positions. Here, we provide a predictive framework for determining the number of crossings, guiding the design of devices tailored for specific functionalities.

Available for download on Saturday, May 16, 2026

Included in

Physics Commons

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