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Springer Series in Materials Science

Information Science for Materials Discovery and Design

Editors: Lookman, Turab, Alexander, Francis J., Rajan, Krishna (Eds.)

  • One of the first books on materials discovery strategy
  • Emphasizes the paradigm of codesign
  • Brings together diverse expertise to improve the model for materials discovery
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Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-23871-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,50 €
price for Spain (gross)
  • ISBN 978-3-319-23870-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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’’ to our toolkit to make the “Materials Genome'' a reality, the science of Materials Informatics.

Table of contents (14 chapters)

  • A Perspective on Materials Informatics: State-of-the-Art and Challenges

    Lookman, T. (et al.)

    Pages 3-12

    Preview Buy Chapter 30,19 €
  • Information-Driven Experimental Design in Materials Science

    Aggarwal, R. (et al.)

    Pages 13-44

    Preview Buy Chapter 30,19 €
  • Bayesian Optimization for Materials Design

    Frazier, Peter I. (et al.)

    Pages 45-75

    Preview Buy Chapter 30,19 €
  • Small-Sample Classification

    Dalton, Lori A. (et al.)

    Pages 77-101

    Preview Buy Chapter 30,19 €
  • Data Visualization and Structure Identification

    Gubernatis, J. E.

    Pages 103-113

    Preview Buy Chapter 30,19 €

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-23871-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,50 €
price for Spain (gross)
  • ISBN 978-3-319-23870-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Information Science for Materials Discovery and Design
Editors
  • Turab Lookman
  • Francis J. Alexander
  • Krishna Rajan
Series Title
Springer Series in Materials Science
Series Volume
225
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-23871-5
DOI
10.1007/978-3-319-23871-5
Hardcover ISBN
978-3-319-23870-8
Series ISSN
0933-033X
Edition Number
1
Number of Pages
XVII, 307
Number of Illustrations
46 b/w illustrations, 88 illustrations in colour
Topics