Data-Mining and Intermetallic Property-Prediction
David J. Fisher
Materials Research Foundations Vol. 128
Publication Date 2022, 120 Pages
Print ISBN 978-1-64490-200-4 (release date August 2022)
ePDF ISBN 978-1-64490-201-1
DOI: 10.21741/9781644902011
Using a computer-aided data mining approach and available experimental data bases, the author discusses the prediction of the structures and properties of intermetallic alloy compounds. The book references 252 original resources with their direct web links for in-depth reading.
Keywords
Data-Mining, Intermetallic Compounds, Structure-Mapping, Clustering Methods, Free Energy, Energy Landscapes of Compounds, Stable Groupings of Atoms, Intermetallic Phases, Crystal Unit Cell Size, Platonic Solids, Symmetries, Stoichiometries, Stability Fields
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About the Author
Dr. Fisher has wide knowledge and experience of the fields of engineering, metallurgy and solid-state physics, beginning with work at Rolls-Royce Aero Engines on turbine-blade research, related to the Concord supersonic passenger-aircraft project, which led to a BSc degree (1971) from the University of Wales. This was followed by theoretical and experimental work on the directional solidification of eutectic alloys having the ultimate aim of developing composite turbine blades. This work led to a doctoral degree (1978) from the Swiss Federal Institute of Technology (Lausanne). He then acted for many years as an editor of various academic journals, in particular Defect and Diffusion Forum. In recent years he has specialized in writing monographs which introduce readers to the most rapidly developing ideas in the fields of engineering, metallurgy and solid-state physics. He is co-author of the widely-cited student textbook, Fundamentals of Solidification. Google Scholar credits him with 8394 citations and a lifetime h-index of 15.
