Machine Learning for Materials Discovery

Name: Machine Learning for Materials Discovery
Brand: Springer
Availability: OutOfStock
Rating: 5 (1 reviews)

By Krishnan, N. M. Anoop

0 - Default Title

Description

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.

Product details

Binding:

Paperback

Number of Pages:

304

Release Date:

2025-05-08

Publication Date:

2025-05-08

Publisher:

Springer

Languages:

Original: English

ISBN10:

3031446240

ISBN13:

9783031446245

GPSR Manufacturer Reference:

[email protected]

Weight:

464 g

Height:

155 cm

Width:

235 cm

Thickness:

17 cm

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