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

Simmons, Jeffrey P. (Editor)/ Bouman, Charles A. (Editor)/ De Graef, Marc (Editor)/ Drummy, Lawrence F., Jr. (Editor)

ISBN 10: 1498738206 / ISBN 13: 9781498738200

Editore: CRC Pr I Llc, 2019

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514 pages. 10.25x7.25x1.50 inches. In Stock.

Codice articolo __1498738206

Dati bibliografici

• Titolo: Statistical Methods for Materials Science: The Data Science of Microstructure Characterization
• Editore: CRC Pr I Llc
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1498738206
• ISBN 13: 9781498738200
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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