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    3. Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

    Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

    Posted By: ksveta6
    Date: 27 Sep 2019 13:56:16
    Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

    Statistical Methods for Materials Science: The Data Science of Microstructure Characterization by Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef
    2019 | ISBN: 1498738206 | English | 536 pages | PDF | 114 MB

    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.
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