Advanced Memory Technology (Hardcover)

Ye Zhou

ISBN 10: 1839165693 / ISBN 13: 9781839165696

Published by Royal Society of Chemistry, Cambridge, 2023

About this Item

Hardcover. Advanced memory technologies are impacting the information era, representing a vibrant research area of huge interest in the electronics industry. The demand for data storage, computing performance and energy efficiency is increasing exponentially and will exceed the capabilities of current information technologies.Alternatives to traditional silicon technology and novel memory principles are expected to meet the need of modern data-intensive applications such as big data and artificial intelligence (AI). Functional materials or methodologies may find a key role in building novel, high speed and low power consumption computing and data storage systems.This book covers functional materials and devices in the data storage areas, alongside electronic devices with new possibilities for future computing, from neuromorphic next generation AI to in-memory computing.Summarizing different memory materials and devices to emphasize the future applications, graduate students and researchers can systematically learn and understand the design, materials characteristics, device operation principles, specialized device applications and mechanisms of the latest reported memory materials and devices. This book will cover functional materials and devices in the data storage areas, alongside electronic devices with new possibilities for future computing, from neuromorphic next generation AI to in-memory computing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781839165696

Bibliographic Details

• Title: Advanced Memory Technology (Hardcover)
• Publisher: Royal Society of Chemistry, Cambridge
• Publication Date: 2023
• Language: English
• ISBN 10: 1839165693
• ISBN 13: 9781839165696
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Advanced memory technologies are impacting the information era, representing a vibrant research area of huge interest in the electronics industry. The demand for data storage, computing performance and energy efficiency is increasing exponentially and will exceed the capabilities of current information technologies.

Alternatives to traditional silicon technology and novel memory principles are expected to meet the need of modern data-intensive applications such as “big data” and artificial intelligence (AI). Functional materials or methodologies may find a key role in building novel, high speed and low power consumption computing and data storage systems.

This book covers functional materials and devices in the data storage areas, alongside electronic devices with new possibilities for future computing, from neuromorphic next generation AI to in-memory computing.

Summarizing different memory materials and devices to emphasize the future applications, graduate students and researchers can systematically learn and understand the design, materials characteristics, device operation principles, specialized device applications and mechanisms of the latest reported memory materials and devices.

About the Author

Prof. Ye Zhou is a professor in the Institute for Advanced Study, Shenzhen University. His research interests include organic/inorganic semiconductors, surface and interface physics, nanostructured materials, and nano-scale devices for technological applications, such as logic circuits, data storage, photonics and sensors.