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Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

by Jeffrey P. Simmons Editor · Lawrence F. Drummy Editor

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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.

Publication Details

Publisher:
CRC Press
Publication Date:
2019

Format

  • OverDrive Read
  • Adobe EPUB eBook 37.1 MB

Creators

Editor :
Marc De Graef
Editor :
Jeffrey P. Simmons
Editor :
Charles A. Bouman
Editor :
Lawrence F. Drummy
Statistical Methods for Materials Science
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