9780367678210 - machine learning in 2d materials science (17 resultados)
Machine Learning in 2d Materials Science
Chundi, Parvathi (EDT); Gadhamshetty, Venkataramana (EDT); Jasthi, Bharat K. (EDT); Lushbough, Carol (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 71,98
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Machine Learning in 2d Materials Science
Chundi, Parvathi (EDT); Gadhamshetty, Venkataramana (EDT); Jasthi, Bharat K. (EDT); Lushbough, Carol (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 78,40
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 73,08
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 85,37
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 87,95
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 85,94
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 84,49
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Machine Learning in 2d Materials Science
Chundi, Parvathi (EDT); Gadhamshetty, Venkataramana (EDT); Jasthi, Bharat K. (EDT); Lushbough, Carol (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 72,16
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 72,17
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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Machine Learning in 2d Materials Science
Chundi, Parvathi (EDT); Gadhamshetty, Venkataramana (EDT); Jasthi, Bharat K. (EDT); Lushbough, Carol (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 72,60
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Condición: As New. Unread book in perfect condition.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 85,88
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 103,24
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Paperback. Condición: Brand New. 248 pages. 9.18x6.12x9.21 inches. In Stock.
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
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EUR 122,15
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 80,76
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Paperback. Condición: new. Paperback. Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniq…ues are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically.KEY FEATURESProvides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projectsOffers introductory material in topics such as ML, data integration, and 2D materialsProvides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materialsDiscusses customized ML methods for 2D materials data and applications and high-throughput data acquisitionDescribes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial productsGives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasetsAimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research. This book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 78,90
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Parvathi Chundi, PhD is Professor of Computer Science, University of Nebraska-Omaha. Prior to Omaha, Dr. Chundi was with Agilent Technologies and HP Labs, both in Palo Alto, CA.Venkataramana Gadhamshetty, PhD, PE .
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 90,26
Envío por EUR 43,24Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniq…ues are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically.KEY FEATURESProvides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projectsOffers introductory material in topics such as ML, data integration, and 2D materialsProvides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materialsDiscusses customized ML methods for 2D materials data and applications and high-throughput data acquisitionDescribes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial productsGives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasetsAimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research. This book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 109,42
Envío por EUR 31,95Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniq…ues are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically.KEY FEATURESProvides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projectsOffers introductory material in topics such as ML, data integration, and 2D materialsProvides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materialsDiscusses customized ML methods for 2D materials data and applications and high-throughput data acquisitionDescribes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial productsGives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasetsAimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research. This book provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. 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.
