Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications

Name: Machine Learning for Materials Discovery
Brand: Springer International Publishing AG
SKU: 9783031446214
Price: 27000 KES
Availability: OutOfStock
ISBN: 9783031446214

2024 ed.

by Hariprasad Kodamana , N. M. Anoop Krishnan , Ravinder Bhattoo

Book Details

Format Hardback

Book Series Machine Intelligence for Materials Science

ISBN-10 3031446216

ISBN-13 9783031446214

Edition 2024 ed.

Publisher Springer International Publishing AG

Imprint Springer International Publishing AG

Country of Manufacture GB

Country of Publication GB

Publication Date May 7th, 2024

Print length 279 Pages

Product Classification: Cybernetics & systems theory Cybernetics and systems theory Mathematical / Computational / Theoretical physics Mathematical physics Ceramic and glass technology Ceramics & glass technology Materials science Machine learning

KSh 27,000.00

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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.

Get Machine Learning for Materials Discovery by Hariprasad Kodamana, N. M. Anoop Krishnan at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 279 pages.