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Title Information science for materials discovery and design / Turab Lookman, Francis J. Alexander, Krishna Rajan, editors.
Imprint Cham : Springer, [2015]
2016

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series Springer series in materials science, 0933-033X ; volume 225
Springer series in materials science ; http://id.loc.gov/authorities/names/n86740676 v. 225. 0933-033X
Subject Materials science.
Materials science -- Mathematical models.
Materials science -- Information resources.
Alt Name Lookman, Turab,
Alexander, Francis J.,
Rajan, Krishna,
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Springer series in materials science, 0933-033X ; volume 225
Springer series in materials science ; http://id.loc.gov/authorities/names/n86740676 v. 225. 0933-033X
Subject Materials science.
Materials science -- Mathematical models.
Materials science -- Information resources.
Alt Name Lookman, Turab,
Alexander, Francis J.,
Rajan, Krishna,
Description 1 online resource (xvii, 307 pages) : illustrations (some color).
polychrome rdacc http://rdaregistry.info/termList/RDAColourContent/1003
Bibliography Note Includes bibliographical references and index.
Contents Introduction.- Data-Driven Discovery of Physical, Chemical, and Pharmaceutical Materials.- Cross-Validation and Inference in Bioinformatics/Cancer Genomics.- Applying MQSPRs -- New Challenges and Opportunities.- Data Mining in Materials Science.- Data Science in the Defense Establishment.- Combining Heuristic and Physics-Based Methods for Predicting Nanocomposite Properties.- From Ferroelectrics to Fuel Cells: In Search of Descriptors for the Transport Properties of Complex Oxides.- Computationally Driven Targeting of Advanced Thermoelectric Materials.- The MGI, Materials Informatics, and NIST) Microstructure Informatics for Mining Structure-Property-Processing Linkages.- A Genomic Approach to Properties of MAX Phase Compounds.- Accelerating Discovery of Complex Formulations and Molecules.- Optimal Learning for Discovering Minimal Peptide Substrates.- Model-based Classification: Predictive and Optimal.
Note Online resource; title from PDF title page (SpringerLink, viewed December 21, 2015).
ISBN 9783319238715 (electronic bk.)
331923871X (electronic bk.)
9783319238708
OCLC # 932198358
Additional Format Print version: Information science for materials discovery and design. Cham : Springer, [2016] 3319238701 (OCoLC)915120205


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