Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes 1st Edition
Author: Rajesh Jha,Bimal Kumar Jha(Author)
Publisher finelybook 出版社: CRC Press; 1st edition (February 17, 2022)
Language 语言: English
Print Length 页数: 280 pages
ISBN-10: 0367765276
ISBN-13: 9780367765279
Book Description
By finelybook
Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including 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 included 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.
Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats
Helps readers develop predictive models through AI/ML algorithms Author: writing their own computer code or using resources where they do not have to write code
Provides downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices
Discusses the CALPHAD approach and ways to use data generated from it
Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science
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.
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Artificial Intelligence-Aided Materials Design 9780367765279.rar
