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Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
ISBN 10: 1848211503 ISBN 13: 9781848211506
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Hardcover. Zustand: new. Hardcover. The emergence of nanoelectronics has led us to renew the concepts of transport theory used in semiconductor device physics and the engineering community. It has become crucial to question the traditional semi-classical view of charge carrier transport and to adequately take into account the wave-like nature of electrons by considering not only their coherent evolution but also the out-of-equilibrium states and the scattering effects. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. It details the implementation of a particle-based Monte Carlo solution of the Wigner transport equation and how the technique is applied to typical devices exhibiting quantum phenomena, such as the resonant tunnelling diode, the ultra-short silicon MOSFET and the carbon nanotube transistor. In the final part, decoherence theory is used to explain the emergence of the semi-classical transport in nanodevices. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848211503 ISBN 13: 9781848211506
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Zustand: New. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. Num Pages: 266 pages, Illustrations. BIC Classification: PBT; TBN; TJFD. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 20. Weight in Grams: 534. . 2010. 1st Edition. Hardcover. . . . .
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Sprache: Englisch
Verlag: ISTE Ltd and John Wiley & Sons Inc, 2010
ISBN 10: 1848211503 ISBN 13: 9781848211506
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Zustand: New. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. Num Pages: 266 pages, Illustrations. BIC Classification: PBT; TBN; TJFD. Category: (P) Professional & Vocational. Dimension: 240 x 158 x 20. Weight in Grams: 534. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Memristive Devices for Brain-Inspired Computing | From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks | Sabina Spiga (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2020 | Woodhead Publishing | EAN 9780081027820 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Verlag: ISTE Ltd and John Wiley & Sons Inc, London, 2010
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Hardcover. Zustand: new. Hardcover. The emergence of nanoelectronics has led us to renew the concepts of transport theory used in semiconductor device physics and the engineering community. It has become crucial to question the traditional semi-classical view of charge carrier transport and to adequately take into account the wave-like nature of electrons by considering not only their coherent evolution but also the out-of-equilibrium states and the scattering effects. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. It details the implementation of a particle-based Monte Carlo solution of the Wigner transport equation and how the technique is applied to typical devices exhibiting quantum phenomena, such as the resonant tunnelling diode, the ultra-short silicon MOSFET and the carbon nanotube transistor. In the final part, decoherence theory is used to explain the emergence of the semi-classical transport in nanodevices. This book gives an overview of the quantum transport approaches for nanodevices and focuses on the Wigner formalism. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbZustand: New. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, includi.
ISTE and Wiley, London. 8vo. xx + 243 pages. Illustrations in b/w. Orig. boards. Name on halftitlepage. Fine.
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Sprache: Englisch
Verlag: Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Englisch.
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In den WarenkorbPaperback. Zustand: Brand New. 575 pages. 9.00x6.00x1.10 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists.