Booktopia has been placed into Voluntary Administration. Orders have been temporarily suspended, whilst the process for the recapitalisation of Booktopia and/or sale of its business is completed, following which services may be re-established. All enquiries from creditors, including customers with outstanding gift cards and orders and placed prior to 3 July 2024, please visit https://www.mcgrathnicol.com/creditors/booktopia-group/

Machine Learning for Materials Discovery

Numerical Recipes and Practical Applications

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

Write A Review

eBook | 8 May 2024

At a Glance

Format
ePUB

eBook

RRP $239.00

$215.99

10%OFF

or 4 interest-free payments of $54.00 with

Instant Digital Delivery to your Booktopia Reader App

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.