Enhancing memristor fundamentals through instrumental characterization and understanding reliability issues

Autor: Fei Qin, Yuxuan Zhang, Han Wook Song, Sunghwan Lee
Rok vydání: 2023
Předmět:
Zdroj: Materials Advances. 4:1850-1875
ISSN: 2633-5409
DOI: 10.1039/d3ma00069a
Popis: A memristor is a promising synaptic device for neuromorphic computing. This review article encompasses various instrumental characterization methods which enhance a fundamental understanding of the switching and reliability mechanisms of memristors.
Databáze: OpenAIRE