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Information Science for Materials Discovery and Design

Overview of attention for book
Cover of 'Information Science for Materials Discovery and Design'

Table of Contents

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    Book Overview
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    Chapter 1 A Perspective on Materials Informatics: State-of-the-Art and Challenges
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    Chapter 2 Information-Driven Experimental Design in Materials Science
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    Chapter 3 Bayesian Optimization for Materials Design
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    Chapter 4 Small-Sample Classification
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    Chapter 5 Data Visualization and Structure Identification
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    Chapter 6 Inference of Hidden Structures in Complex Physical Systems by Multi-scale Clustering
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    Chapter 7 On the Use of Data Mining Techniques to Build High-Density, Additively-Manufactured Parts
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    Chapter 8 Optimal Dopant Selection for Water Splitting with Cerium Oxides: Mining and Screening First Principles Data
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    Chapter 9 Toward Materials Discovery with First-Principles Datasets and Learning Methods
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    Chapter 10 Materials Informatics Using Ab initio Data: Application to MAX Phases
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    Chapter 11 Symmetry-Adapted Distortion Modes as Descriptors for Materials Informatics
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    Chapter 12 Discovering Electronic Signatures for Phase Stability of Intermetallics via Machine Learning
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    Chapter 13 Combinatorial Materials Science, and a Perspective on Challenges in Data Acquisition, Analysis and Presentation
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    Chapter 14 High Throughput Combinatorial Experimentation + Informatics = Combinatorial Science
Attention for Chapter 13: Combinatorial Materials Science, and a Perspective on Challenges in Data Acquisition, Analysis and Presentation
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Citations

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Summary Dimensions citations
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Chapter title
Combinatorial Materials Science, and a Perspective on Challenges in Data Acquisition, Analysis and Presentation
Chapter number 13
Book title
Information Science for Materials Discovery and Design
Published in
ADS, January 2016
DOI 10.1007/978-3-319-23871-5_13
Book ISBNs
978-3-31-923870-8, 978-3-31-923871-5
Authors

Robert C. Pullar

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 3 33%
Other 1 11%
Student > Doctoral Student 1 11%
Readers by discipline Count As %
Materials Science 8 89%
Chemistry 1 11%

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