Materials Discovery and Design By Means of Data Science and Optimal Learning

Materials Discovery and Design By Means of Data Science and Optimal Learning / edited by Turab Lookman, Stephan Eidenbenz, Frank Alexander, Cris Barnes.

This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the ap...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lookman, Turab (Editor), Eidenbenz, Stephan (Editor), Alexander, Frank (Editor), Barnes, Cris (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Springer Series in Materials Science, 280
Springer eBook Collection.
Subjects:
Physics.
Materials science.
Data mining.
Engineering—Materials.
Computer mathematics.
Numerical analysis.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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