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Название: Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes
Автор: Rajesh Jha, Bimal Kumar Jha
Издательство: CRC Press
Год: 2022
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 30.2 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. AI algorithms can be used for developing mathematical models and for multi-objective optimization of desired properties. Machine Learning (ML) is a component of AI-based approach and has been effectively used for developing mathematical models.
Автор: Rajesh Jha, Bimal Kumar Jha
Издательство: CRC Press
Год: 2022
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 30.2 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. AI algorithms can be used for developing mathematical models and for multi-objective optimization of desired properties. Machine Learning (ML) is a component of AI-based approach and has been effectively used for developing mathematical models.