Machine Leaing for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)

by: N. M. Anoop Krishnan (Author),Hariprasad Kodamana(Author),Ravinder Bhattoo(Author)

Publisher: Springer
Edition: 2024th

Publication Date: May 7, 2024

Language: English

Print Length: 299 pages

ISBN-10: 3031446216

ISBN-13: 9783031446214

Book Description

Focusing on the fundamentals of machine leaing, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine leaing 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.
Focusing on the fundamentals of machine leaing, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine leaing 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. Read more