Machine Learning for Materials Discovery Numerical Recipes and Practical Applications /

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a luci...

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Bibliographic Details

Main Authors:	Krishnan, N. M. Anoop (Author), Kodamana, Hariprasad (Author), Bhattoo, Ravinder (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Machine Intelligence for Materials Science,
Subjects:	Materials science > Data processing. Machine learning. System theory. Mathematical physics. Ceramic materials. Computational Materials Science. Machine Learning. Complex Systems. Theoretical, Mathematical and Computational Physics. Ceramics.
Online Access:	https://doi.org/10.1007/978-3-031-44622-1
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