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Data-Mining and Intermetallic Property-Prediction - Paperback

Data-Mining and Intermetallic Property-Prediction - Paperback

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by David J. Fisher (Author)

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.

Number of Pages: 114
Dimensions: 0.24 x 9 x 6 IN
Publication Date: August 05, 2022