Statistical Methods for Materials Science
eBook - ePub

Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

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

  1. 514 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Methods for Materials Science

The Data Science of Microstructure Characterization

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

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Statistical Methods for Materials Science by Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman, Marc De Graef in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Condensed Matter. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2019
ISBN
9781351647380
Edition
1
Topic
Physical Sciences
Subtopic
Condensed Matter

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. About the Editors
  9. Contributors
  10. I Introduction
  11. II Emerging Data Science in Microstructure Characterization
  12. III Inverse Methods for Analysis of Data
  13. IV Structure Formation in Materials
  14. V Microstructure
  15. VI Anomalies
  16. VII Sparse Methods
  17. Appendix A List of Symbols for Chapters 6, 7, and 13 440
  18. Bibliography
  19. Index