Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware

Authors
Joksas, Dovydas 
AlMutairi, AbdulAziz 
Lee, Oscar 
Cubukcu, Murat 

Change log
Abstract

In a data-driven economy, virtually all industries benefit from advances in information technology -- powerful computing systems are critically important for rapid technological progress. However, this progress might be at risk of slowing down if we do not address the discrepancy between our current computing power demands and what the existing technologies can offer. Key limitations to improving energy efficiency are the excessive growth of data transfer costs associated with the von Neumann architecture and the fundamental limits of complementary metal-oxide-semiconductor (CMOS) technologies, such as transistors. In this perspective article, we discuss three technologies that will likely play an essential role in future computing systems: memristive electronics, spintronics, and electronics based on 2D materials. We present how these may transform conventional digital computers and contribute to the adoption of new paradigms, like neuromorphic computing.

Publication Date
2022
Online Publication Date
2022-07
Acceptance Date
Keywords
machine learning, memristors, spintronics, neuromorphic computing, 2D materials
Journal Title
ADVANCED INTELLIGENT SYSTEMS
Journal ISSN
2640-4567
2640-4567
Volume Title
Publisher
Wiley
Sponsorship
Engineering and Physical Sciences Research Council (2094654, EP/P013503/1)
Leverhulme Trust ((RPG-2016-135)