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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization by Jeffrey P. Simmons
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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization by Jeffrey P. Simmons

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Description

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.



About the Author
Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef


Book Information
ISBN 9780367780289
Author Jeffrey P. Simmons
Format Paperback
Page Count 514
Imprint CRC Press
Publisher Taylor & Francis Ltd
Weight(grams) 453g

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