Memristors

From Materials to Devices: Memristor Models, Mechanisms, Fabrication Methods, and Applications
1. Auflage 2025
ISBN: 978-87-7004-728-9
Verlag: River Publishers

Buch, Englisch, 108 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 178 g

Reihe: River Publishers Rapids Series on Intelligence in Chips

This book is a straightforward guide for researchers, engineers, and technology enthusiasts interested in memristors. It covers the fundamentals of memristors, including what they are and how they work, and explores different materials used in them, like binary oxides, perovskites, and new materials like transition metal dichalcogenides (TMDCs). It also explains how memristors are made using methods like physical vapor deposition (PVD) and electrochemical deposition.

The book also shows the different types of memristor devices such as non-volatile, spintronic, ferroelectric, polymeric, and molecular memory devices. The book discusses important things like how well memristors work over time, how consistent they are, and how fast they can switch on and off. It also talks about where memristor technology is headed in the future, beyond what's possible with current computer chips.

Zielgruppe

Academic, Postgraduate, and Professional Practice & Development

Autoren/Hrsg.

James, Alex

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Elektronik, Optik

Inhaltsverzeichnis

Chapter 1: Memristors: Materials and Mechanisms Chapter 2: Memristors: Properties, Models, Fabrication Methods, Devices

Über Autor(innen)

Alex James received his Ph.D. degree from Griffith University, Queensland, Australia. He is currently a Professor and the Dean (Academic) with the Kerala University of Digital Sciences, Innovation and Technology (aka Digital University Kerala). He is the Professor-in-Charge of the Maker Village, and the Chief Investigator with the India Innovation Centre for Graphene. His research interests include AI–neuromorphic systems (software and hardware), VLSI and image processing. He is a Member of IEEE CASS TC on Nonlinear Circuits and Systems, IEEE CTSoc TC on Quantum in Consumer Technology (QCT), TC on Machine learning, Deep learning and AI in CE (MDA), IEEE CASS TC on Cellular Nanoscale Networks and Memristor Array Computing (CNN-MAC), and IEEE CASS SIG on AgriElectronics. He was the founding Chair of the IEEE CASS Kerala chapter, a Member of the IET Vision and Imaging Network, and currently a Member of BCS’ Fellows Technical Advisory Group (F-TAG). He was an Editorial Board Member of Information Fusion (2010–2014), and currently serving as an Associate Editor of IEEE Access (2017–present), Frontiers in Neuroscience (2022–present), IEEE Transactions on Circuits and System 1: Regular Papers (2018–2023), IEEE Open Journal of Circuits and Systems journal (2022–2023), IEEE Transactions on Biomedical Circuits and Systems (2024–present), and IEEE Transactions on Artificial Intelligence for Circuits and Systems (2024–present). He is also currently the Associate Editor-in-Chief of IEEE Open Journal of Circuits and Systems (2024–present). He was awarded the IEEE Outstanding researcher by the IEEE Kerala Section for 2022, Kairali Scientist Award (Kairali Gaveshana Puraskaram) for Physical Science in 2022, Best Associate Editor for TCAS1 in 2021 and IEEE Circuits and Systems Society Guillemin-Cauer Best Paper Award for 2024. He is a Life Member of ACM, Senior Fellow of HEA, Fellow of British Computer Society (FBCS), and Fellow of IET (FIET).