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An Introduction to Materials Informatics: The Elements of Machine Learning - Hardcover

$178.18 USD
$178.18 USD
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An Introduction to Materials Informatics: The Elements of Machine Learning - Hardcover
An Introduction to Materials Informatics: The Elements of Machine Learning - Hardcover
An Introduction to Materials Informatics: The Elements of Machine Learning - Hardcover
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Product Description

by Tongyi Zhang (Author)

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introduction, merging AI, ML, materials science, and engineering. It covers essential topics and algorithms in 11 chapters, including Linear Regression, Neural Networks, and more. Suitable for diverse fields like materials science, physics, and chemistry, it enables quick and easy learning of Materials Informatics for readers without prior AI and ML knowledge.

Back Jacket

This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introduction, merging AI, ML, materials science, and engineering. It covers essential topics and algorithms in 11 chapters, including Linear Regression, Neural Networks, and more. Suitable for diverse fields like materials science, physics, and chemistry, it enables quick and easy learning of Materials Informatics for readers without prior AI and ML knowledge.

Author Biography

Tongyi Zhang, born in October 1949 in Zhengzhou, China, is Expert in the interdisciplinary area of materials science and engineering and solid mechanics. He received his Ph.D. in 1985 in materials physics from the University of Science and Technology Beijing, China. He was Research Fellow of the Alexander von Humboldt Foundation, 1986-1988, Germany; Postdoctoral Fellow, 1988-1990, University of Rochester; and Associate Research Scientist, 1990-1993, Yale University. From 1993 to 2015, he worked at the Hong Kong University of Science and Technology, as Lecturer, Associate Professor, Professor, Chair Professor, and Fang Professor of Engineering.

He is the founding dean of Materials Genome Institute, Shanghai University, and the founding director of the Materials Genome Engineering division in the Chinese Materials Research Society (CMRS). Currently he is doing his best to promote Materials Genome Engineering and Materials/Mechanics Informatics, especially, materials AI labs, materials AI computations, and materials large multimodal model.

He is the Vice President of the International Congress on Fracture, the Honorary President of the Chinese Society for Corrosion and Protection, and was the Vice President of the Far East and Oceanic Fracture Society. He is the founding Editor-in-Chief of Journal of Materials Informatics and was the Editor-in-Chief of Science China Technological Sciences 2018-2022. He became Fellow of International Congress on Fracture in 2013, Fellow of the Hong Kong Academy of Engineering Sciences in 2012, Member of Chinese Academy of Sciences in 2011, Senior Research Fellow of Croucher Foundation, Hong Kong, in 2003, Fellow of ASM International, USA, in 2001. He received the awards including the 2018 Prize for Scientific and Technological Progress from the HLHL Foundation, the Second Prizes of 2007 and 1987 State Natural Science Award, China, and the 1988 National Award for Young Scientists, China.


Number of Pages: 479
Dimensions: 1.06 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: February 28, 2025
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