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Materials Discovery and Design

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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 6: Data Challenges of In Situ X-Ray Tomography for Materials Discovery and Characterization
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