Importance of Feature Selection in the Adaptive Design of Materials by Machine Learning

This dataset contains features (combined, ionic radii, and electronegativity) and band gap (Eg) values for apatites in their lowest energy structure.

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Bibliographische Detailangaben
Hauptverfasser:	Prasanna V Balachandran, Dezhen Xue, Theiler, James, Hogden, John, Gubernatis, James E., Turab Lookman
Format:	Dataset
Sprache:	eng
Schlagworte:	Ceramics FOS: Chemical sciences FOS: Materials engineering FOS: Psychology Functional Materials Knowledge Representation and Machine Learning Theory and Design of Materials
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	This dataset contains features (combined, ionic radii, and electronegativity) and band gap (Eg) values for apatites in their lowest energy structure.
DOI:	10.6084/m9.figshare.5038991