Information Science for Materials Discovery and Design

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lookman, Turab (Editor), Alexander, Francis J. (Editor), Rajan, Krishna (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Springer Series in Materials Science, 225
Subjects:
Nanotechnology.
Materials.
Data mining.
System theory.
Materials > Analysis.
Mathematical physics.
Materials Engineering.
Data Mining and Knowledge Discovery.
Complex Systems.
Characterization and Analytical Technique.
Theoretical, Mathematical and Computational Physics.
Online Access:Full-text access
Table of Contents:
  • From the 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.

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