Machine Learning for Materials Discovery

Machine Learning for Materials Discovery
Author :
Publisher : Springer Nature
Total Pages : 288
Release :
ISBN-10 : 9783031446221
ISBN-13 : 3031446224
Rating : 4/5 (224 Downloads)

Book Synopsis Machine Learning for Materials Discovery by : N. M. Anoop Krishnan

Download or read book Machine Learning for Materials Discovery written by N. M. Anoop Krishnan and published by Springer Nature. This book was released on 2024 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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