Sandeep Dhariwal (23 results)
- Softcover
Seller: moluna, Greven, Germanymoluna
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£ 50.99
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Kartoniert / Broschiert. Condition: New.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 53.56
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Taschenbuch. Condition: Neu. Modeling of Transport Properties of Carbon Nano Tubes (CNTs) | Sandeep Dhariwal (u. a.) | Taschenbuch | 168 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139933334 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[do…t]de | Anbieter: preigu.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 104.17
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Paperback. Condition: Brand New. 168 pages. 8.66x5.91x0.38 inches. In Stock.
Machine Learning for Semiconductor Materials
Gupta, Neeraj (EDT); Gupta, Rashmi (EDT); Yadav, Rekha (EDT); Dhariwal, Sandeep (EDT); Sarma, Rajkumar (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 129.45
£ 1.97 shippingShips within U.S.A.Quantity: 10 available
Condition: New.
Machine Learning for Semiconductor Materials
Gupta, Neeraj (EDT); Gupta, Rashmi (EDT); Yadav, Rekha (EDT); Dhariwal, Sandeep (EDT); Sarma, Rajkumar (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 125.35
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Condition: New.
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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£ 155.24
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Condition: New.
Machine Learning for Semiconductor Materials
Gupta, Neeraj (EDT); Gupta, Rashmi (EDT); Yadav, Rekha (EDT); Dhariwal, Sandeep (EDT); Sarma, Rajkumar (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
£ 154.41
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 157.20
£ 5.02 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 154.49
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Condition: New. In.
Machine Learning for Semiconductor Materials
Gupta, Neeraj (EDT); Gupta, Rashmi (EDT); Yadav, Rekha (EDT); Dhariwal, Sandeep (EDT); Sarma, Rajkumar (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 149.99
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 164.48
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Condition: New.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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£ 178.82
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Condition: New.
- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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£ 190.96
£ 8.47 shippingShips from Germany to U.S.A.Quantity: 3 available
Condition: New.
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
£ 180.83
£ 15.75 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 196.82
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Hardcover. Condition: Brand New. 240 pages. 9.18x6.12x9.45 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2018, 2018
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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£ 63.08
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contributes to the description of electronic structure and transport in metallic CNTs with electrode contacts. DFT coupled with NEGF theoretical approach has been applied to different electrode materials. Ballistic transpo…rt calculations are based on the nonequilibrium Green's function formalism combined with density functional theory (DFT). A systematic investigation of different contact materials is carried out using suitable atomistic metal-CNT-metal structures, optimized in an appropriate way. Based on the models, electronic transport calculations are carried out, which further can be extended to large systems by applying the DFT calculator. Transmission spectrum and differential conductance are useful results to investigate the CNT-metal interaction and its influences on the transport. Horizontal, vertical and angular configurations are compared that may be suitable for future on-chip interconnect applications. Antenna and sensors are designed and fabricated based on the application of carbon nano-materials. With a development and an increasing interest in flexible electronics, the design of a patch antenna is presented using CNT-polymer ink on fabrics. 168 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2018, 2018
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 63.08
£ 51.10 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contributes to the description of electronic structure and transport in metallic CNTs with electrode contacts. DFT coupled with NEGF theoretical approach has been applied to different electrode materials. Ballistic transport c…alculations are based on the nonequilibrium Green's function formalism combined with density functional theory (DFT). A systematic investigation of different contact materials is carried out using suitable atomistic metal-CNT-metal structures, optimized in an appropriate way. Based on the models, electronic transport calculations are carried out, which further can be extended to large systems by applying the DFT calculator. Transmission spectrum and differential conductance are useful results to investigate the CNT-metal interaction and its influences on the transport. Horizontal, vertical and angular configurations are compared that may be suitable for future on-chip interconnect applications. Antenna and sensors are designed and fabricated based on the application of carbon nano-materials. With a development and an increasing interest in flexible electronics, the design of a patch antenna is presented using CNT-polymer ink on fabrics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 63.83
£ 52.25 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book contributes to the description of electronic structure and transport in metallic CNTs with electrode contacts. DFT coupled with NEGF theoretical approach has been applied to different electrode materials. Ballistic transport ca…lculations are based on the nonequilibrium Green's function formalism combined with density functional theory (DFT). A systematic investigation of different contact materials is carried out using suitable atomistic metal-CNT-metal structures, optimized in an appropriate way. Based on the models, electronic transport calculations are carried out, which further can be extended to large systems by applying the DFT calculator. Transmission spectrum and differential conductance are useful results to investigate the CNT-metal interaction and its influences on the transport. Horizontal, vertical and angular configurations are compared that may be suitable for future on-chip interconnect applications. Antenna and sensors are designed and fabricated based on the application of carbon nano-materials. With a development and an increasing interest in flexible electronics, the design of a patch antenna is presented using CNT-polymer ink on fabrics.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contact seller5-star sellerCondition: New
£ 131.49
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Hardcover. Condition: new. Hardcover. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means cluste…ring and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 130.63
£ 19.59 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression,…decision tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering. 226 pp. Englisch.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 124.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means cluste…ring and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 144.58
£ 53.27 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decis…ion tree, support vector machine, K-means clustering and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
£ 230.30
£ 27.61 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of technology computer-aided design (TCAD). It provides various algorithms of machine learning, such as regression, decision tree, support vector machine, K-means cluste…ring and so forth. This book also highlights semiconductor materials and their uses in multi-gate devices and the analog and radio-frequency (RF) behaviours of semiconductor devices with different materials.Features:Focuses on semiconductor materials and the use of machine learning to facilitate understanding and decision-makingCovers RF and noise analysis to formulate the frequency behaviour of semiconductor devices at high frequencyExplores pertinent biomolecule detection methodsReviews recent methods in the field of machine learning for semiconductor materials with real-life applicationsExamines the limitations of existing semiconductor materials and steps to overcome the limitations of existing TCAD softwareThis book is aimed at researchers and graduate students in semiconductor materials, machine learning and electrical engineering. Machine Learning for Semiconductor Materials studies recent techniques and methods of machine learning to mitigate the use of Technology Computer Aided Design (TCAD). It provides the various algorithms of machine learning such as regression, decision tree, support vector machine and k-means clustering and so forth. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
