Information Science for Materials Discovery and Design

Language: English

Published by Springer International Publishing, Springer Nature Switzerland Mär 2019, 2019

3319795414 / 9783319795416

Series: Book 136 of 233 - Springer Series in Materials Science

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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 experiments 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.…

Seller Inventory # 9783319795416

Title
Information Science for Materials Discovery and Design
Author
Turab Lookman
Publisher
Springer International Publishing, Springer Nature Switzerland Mär 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319795414
ISBN 13
9783319795416
Item weight
499 grams
Dimensions
235x155x18 mm
Series
Book 136 of 233: Springer Series in Materials Science

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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