9783319238708 - information science for materials discovery and design (springer series in materials science, 225, band 225) (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2015
Serie: Springer Series in Materials Science, Buch 136 von 233. Buch 136 von 233 - Springer Series in Materials Science
- Hardcover
- Erstausgabe
Anbieter: SpringBooks, Berlin, DeutschlandSpringBooks
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Hardcover. Zustand: Very Good. 1. Auflage. Unread. Immediately dispatched from Germany.
Sprache: Englisch
Verlag: Springer 2015
Serie: Springer Series in Materials Science, Buch 136 von 233. Buch 136 von 233 - Springer Series in Materials Science
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing 2015
Serie: Springer Series in Materials Science, Buch 136 von 233. Buch 136 von 233 - Springer Series in Materials Science
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 246,09
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Buch. Zustand: 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 d…ata 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)
Sprache: Englisch
Verlag: Springer 2015
Serie: Springer Series in Materials Science, Buch 136 von 233. Buch 136 von 233 - Springer Series in Materials Science
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 349,29
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Hardcover. Zustand: Brand New. 328 pages. 9.25x6.25x0.75 inches. In Stock.
