Title: Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
Publisher: CRC Press 2021-03-31
Publication Date: 2021
Language: English
ISBN 10: 0367780283
ISBN 13: 9780367780289
Binding: Paperback
Condition: New

About this title

Synopsis

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

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