Damien Querlioz (20 results)
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
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paperback. Condition: Sehr gut. 568 Seiten; 9780081027820.2 Gewicht in Gramm: 1.
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Condition: 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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- Hardcover
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- Hardcover
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Condition: 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. …
Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Spiga, Sabina (EDT); Sebastian, Abu (EDT); Querlioz, Damien (EDT); Rajendran, Bipin (EDT)
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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More imagesLanguage: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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 - flex.(Paperback) | Englisch | 2020 | Woodhead Publishing | EAN 9780081027820 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.…
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Neuware - 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.…
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Condition: gut. 2020. Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and . Series in Electronic and Optical Materials) In englischer Sprache. pages.
Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Spiga, Sabina (EDT); Sebastian, Abu (EDT); Querlioz, Damien (EDT); Rajendran, Bipin (EDT)
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Spiga, Sabina (EDT); Sebastian, Abu (EDT); Querlioz, Damien (EDT); Rajendran, Bipin (EDT)
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
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Condition: As New. Unread book in perfect condition.
Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Spiga, Sabina (EDT); Sebastian, Abu (EDT); Querlioz, Damien (EDT); Rajendran, Bipin (EDT)
Language: English
Published by Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 350.33
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Elsevier Science, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
Seller: moluna, Greven, Germanymoluna
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US$ 336.63
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Condition: 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.
- Hardcover
Seller: Vangsgaards Antikvariat Aps, Copenhagen, DenmarkVangsgaards Antikvariat Aps
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Add to basketISTE and Wiley, London. 8vo. xx + 243 pages. Illustrations in b/w. Orig. boards. Name on halftitlepage. Fine.
Language: English
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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.…
Language: English
Published by Elsevier Inc, 2020
Series: Book 138 of 203 - Woodhead Publishing Series in Electronic and Optical Materials
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 301.62
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Taschenbuch. Condition: 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.…
