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商品コード: 9781118869260

Nanomagnetic and Spintronic Devices

販売価格(税込): 11,567 円  (本体価格: 10,711 円+税)
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書名

Nanomagnetic and Spintronic Devices for Energy-Efficient Memory and Computing
著者・編者 Bandyopadhyay, S. & Atulasimha, J.
出版社/発行元 Wiley
発行年/月 2015年12月   
装丁 Hardcover
ページ数/巻数 344 ページ
ISBN 978-1-118-86926-0
発送予定 海外倉庫よりお取り寄せ 2-3週間以内に発送します

 

Desciption

 

Nanomagnetic and spintronic computing devices are strong contenders for future replacements of CMOS. This is an important and rapidly evolving area with the semiconductor industry investing significantly in the study of nanomagnetic phenomena and in developing strategies to pinpoint and regulate nanomagnetic reliably with a high degree of energy efficiency. This timely book explores the recent and on-going research into nanomagnetic-based technology.

Key features:

- Detailed background material and comprehensive descriptions of the current state-of-the-art research on each topic.
- Focuses on direct applications to devices that have potential to replace CMOS devices for computing applications such as memory, logic and higher order information processing.
- Discusses spin-based devices where the spin degree of freedom of charge carriers are exploited for device operation and ultimately information processing.
- Describes magnet switching methodologies to minimize energy dissipation.
- Comprehensive bibliographies included for each chapter enabling readers to conduct further research in this field.

 

Contents:

 

1 Introduction to Spintronic and Nanomagnetic Computing Devices
2 Potential Applications of all Electric Spin Valves Made of Asymmetrically Biased Quantum Point Contacts
3 Spin-Transistor Technology for Spintronics/CMOS Hybrid Logic Circuits and Systems
4 Spin Transfer Torque: A Multiscale Picture
5 Magnetic Tunnel Junction Based Integrated Logics and Computational Circuits
6 Magnetization Switching and Domain Wall Motion Due to Spin Orbit Torque
7 Magnonic Logic Devices
8 Strain Mediated Magnetoelectric Memory
9 Hybrid Spintronics-Strainronics
10 Unconventional Nanocomputing with Physical Wave Interference Functions

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