Fabrication of Oxide-Based Memristors for Neural Networks

Author

Jamison E. Wagner, University of New MexicoFollow

Publication Date

Fall 11-6-2021

Abstract

This thesis discusses what a memristor is, how it is hypothesized to work and the fabrication work undertaken with hafnia and titania-based ultrathin oxide films. In addition, the electrical tests utilized to characterize the physical performance of the memristors including but not limited to, their IV hysteresis responses, yield rates and overall reliability. The results and discussion of this work are aimed at better understanding how fabrication of memristive devices can be further improved for future work.

Keywords

memristors, neural networks, hafnium oxide, semiconductor fabrication

Document Type

Thesis

Language

English

Degree Name

Electrical Engineering

Level of Degree

Masters

Department Name

Electrical and Computer Engineering

First Committee Member (Chair)

Dr. Edl Schamiloglu

Second Committee Member

Dr. Payman Zarkesh-Ha

Third Committee Member

Dr. Ganesh Balakrishnan

Recommended Citation

Wagner, Jamison E.. "Fabrication of Oxide-Based Memristors for Neural Networks." (2021). https://digitalrepository.unm.edu/ece_etds/567