Isbn: 9783030683092 - artificial intelligence for materials science: 312 (15 risultati)

Lingua: Inglese
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field.Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years.This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.…

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Artificial Intelligence for Materials Science
Cheng, Yuan (Edited by)/ Wang, Tian (Edited by)/ Zhang, Gang (Edited by)
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Hardcover. Condizione: Brand New. 235 pages. 9.25x6.10x0.79 inches. In Stock.

Lingua: Inglese
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Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents fundamental information about AI principles and algorithmsDescribes the most important and commonly adopted analytical methods in computational material scienceFeatures applications of machine learning in material designIncl.…

Lingua: Inglese
Editore: Springer, Springer Mär 2021, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field.Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years.This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers. 236 pp. Englisch.…

Lingua: Inglese
Editore: Springer, Springer Mär 2021, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field.Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years.This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.…

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 227 di 233 - Springer Series in Materials Science
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