9783319238708 - information science for materials discovery and design (14 résultats)
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
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Etat : Very Good. Text block firm and clean, binding unblemished, boards straight, no highlights or underlining. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
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Etat : New. In.
Langue : anglais
Edité par Springer International Publishing AG, CH, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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Hardback. Etat : New. 1st ed. 2016. This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with m…achine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a "fourth leg'' toour toolkit to make the "Materials Genome'' a reality, the science of Materials Informatics.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : Basi6 International, Irving, TX, Etats-UnisBasi6 International
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Etat : Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Langue : anglais
Edité par Springer International Publishing AG, CH, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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Hardback. Etat : New. 1st ed. 2016.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Etat : New. pp. 340.
Langue : anglais
Edité par Springer International Publishing, Springer International Publishing, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or dat…a driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a 'fourth leg'' toour toolkit to make the 'Materials Genome'' a reality, the science of Materials Informatics.
Information Science for Materials Discovery and Design
Lookman, Turab (Edited by)/ Alexander, Francis J. (Edited by)/ Rajan, Krishna (Edited by)
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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EUR 344,93
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Hardcover. Etat : Brand New. 328 pages. 9.25x6.25x0.75 inches. In Stock.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : Brook Bookstore On Demand, Napoli, NA, ItalieBrook Bookstore On Demand
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EUR 190,30
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Etat : new. Questo è un articolo print on demand.
Langue : anglais
Edité par Springer International Publishing, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : moluna, Greven, Allemagnemoluna
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the first books on materials discovery strategyEmphasizes the paradigm of codesignBrings together diverse expertise to improve the model for materials discoveryThis book deals with an information-driven a…pproach to plan ma.
Langue : anglais
Edité par Springer International Publishing, Springer Nature Switzerland Dez 2015, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial ex…periments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a 'fourth leg'' toour toolkit to make the 'Materials Genome'' a reality, the science of Materials Informatics. 328 pp. Englisch.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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EUR 294,19
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Etat : New. Print on Demand pp. 340.
Langue : anglais
Edité par Springer International Publishing, Springer International Publishing Dez 2015, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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EUR 246,09
EUR 60,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experi…ments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a ¿fourth leg¿¿ toour toolkit to make the ¿Materials Genome'' a reality, the science of Materials Informatics.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch.
Langue : anglais
Edité par Springer, 2015
Série : Livre 136 sur 233 - Springer Series in Materials Science
- Couverture rigide
- impression à la demande
Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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EUR 298,79
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Etat : New. PRINT ON DEMAND pp. 340.
