ARTIFICIAL INTELLIGENCE-AIDED MATERIALS DESIGN

ARTIFICIAL INTELLIGENCE-AIDED MATERIALS DESIGN

AI-ALGORITHMS AND CASE STUDIES ON ALLOYS AND METALLURGICAL PROCESSES
By RAJESH JHA , BIMAL KUMAR JHA
Rs.19,810
  • Availability: In Stock

Description

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.

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Book Details

About the Author

Dr. Rajesh Jha is a postdoctoral researcher at the Department of Mechanical and Materials Engineering, Florida International University (FIU). Prior to FIU, he worked as a postdoctoral researcher at the Department of Mechanical Engineering, Colorado School of Mines, Golden, Colorado. He graduated with a PhD in Materials Science and Engineering from Florida International University, Miami, FL, in 2016; Master of Technology in Metallurgical and Materials Engineering from Indian Institute of Technology, Kharagpur, India, in 2012; and BSc in Metallurgical Engineering from BIT, Sindri, Jharkhand, India, in 2009. Dr. Jha has worked as a faculty in Metallurgy at OP Jindal University, India.

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