An Introduction to Materials Informatics
The Elements of Machine Learning
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Beschreibung
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.
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.
Is a textbook for readers in various fields, such as materials science and engineering Writes in a comprehensible way with detailed examples Adopts artificial intelligence (AI), machine learning (ML) in the fields of materials science and engineering
Autor*in
Tongyi Zhang
Themen in »An Introduction to Materials Informatics«
Materials Informatics Materials Genome Artificial Intelligence