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Materials Discovery and Design

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

Table of Contents

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    Book Overview
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    Chapter 1 Dimensions, Bits, and Wows in Accelerating Materials Discovery
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    Chapter 2 Is Automated Materials Design and Discovery Possible?
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    Chapter 3 Importance of Feature Selection in Machine Learning and Adaptive Design for Materials
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    Chapter 4 Bayesian Approaches to Uncertainty Quantification and Structure Refinement from X-Ray Diffraction
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    Chapter 5 Deep Data Analytics in Structural and Functional Imaging of Nanoscale Materials
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    Chapter 6 Data Challenges of In Situ X-Ray Tomography for Materials Discovery and Characterization
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    Chapter 7 Overview of High-Energy X-Ray Diffraction Microscopy (HEDM) for Mesoscale Material Characterization in Three-Dimensions
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    Chapter 8 Bragg Coherent Diffraction Imaging Techniques at 3rd and 4th Generation Light Sources
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    Chapter 9 Automatic Tuning and Control for Advanced Light Sources
Attention for Chapter 2: Is Automated Materials Design and Discovery Possible?
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Citations

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21 Dimensions

Readers on

mendeley
5 Mendeley
Summary Dimensions citations
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Chapter title
Is Automated Materials Design and Discovery Possible?
Chapter number 2
Book title
Materials Discovery and Design
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-99465-9_2
Book ISBNs
978-3-31-999464-2, 978-3-31-999465-9
Authors

Michael McKerns, McKerns, Michael

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Postgraduate 2 40%
Researcher 1 20%
Readers by discipline Count As %
Materials Science 4 80%
Physics and Astronomy 1 20%

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