Machine Learning for Materials Discovery

Discover the cutting-edge intersection of technology and materials science in Machine Learning for Materials Discovery by N. M. Anoop Krishnan. Published by Springer International Publishing AG in 2024, this hardback edition spans 279 pages and delves into the essentials of machine learning. The book offers a comprehensive exploration of data-driven modeling techniques, from fundamental regression methods to sophisticated machine learning and optimization strategies. Ideal for researchers and practitioners alike, it highlights innovative applications in materials modeling and discovery, making it an essential resource for anyone looking to leverage machine learning in the field of materials science. Enhance your understanding and stay ahead in this rapidly evolving discipline with this insightful guide.