From Oxides to 2D Materials: Advancing Memristor Technologies for Energy-Efficient Neuromorphic Computing

Abstract

This review presents a comparative analysis of the analog switching performance of oxide-and two-dimensional (2D)-material-based memristors, focusing on their application in neuromorphic computing systems. This study examines various performance metrics such as endurance, energy consumption, and switching characteristics to elucidate how these parameters are influenced by the unique characteristics of the respective materials. By examining both oxide-and 2D-material-based memristors in array configurations, this review provides insights into their suitability for neuromorphic computing, highlighting advancements, challenges, and future research directions in memristor technology.