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Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

By: N. M. Anoop Krishnan,Hariprasad Kodamana,Ravinder Bhattoo

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Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

By: N. M. Anoop Krishnan,Hariprasad Kodamana,Ravinder Bhattoo

Zusammenfassung: 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 lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect--each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials

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Page Count

288

Publisher

Springer Nature

Published Date

ISBN 10

3031446224

ISBN 13

9783031446221

Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

By: N. M. Anoop Krishnan,Hariprasad Kodamana,Ravinder Bhattoo

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

By: N. M. Anoop Krishnan,Hariprasad Kodamana,Ravinder Bhattoo

Zusammenfassung: 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 lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect--each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

288

Publisher

Springer Nature

Published Date

ISBN 10

3031446224

ISBN 13

9783031446221