English | 2022 | ISBN: 0367765276 | 363 pages | True PDF | 46.53 MB
This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys.
Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference.
This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.
DOWNLOAD
uploadgig.com
rapidgator.net
nitro.download