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The optimal one dimensional periodic table: a modified Pettifor chemical scale from data mining

Authors: H. Glawe, A. Sanna, E.K.U. Gross, and M.A.L. Marques

Ref.: New J. Phys. 18, 093011 (2016)

Abstract: Starting from the experimental data contained in the inorganic crystal structure database, we use a statistical analysis to determine the likelihood that a chemical element A can be replaced by another B in a given structure. This information can be used to construct a matrix where each entry (A,B) is a measure of this likelihood. By ordering the rows and columns of this matrix in order to reduce its bandwidth, we construct a one-dimension ordering of the chemical elements, analogous to the famous Pettifor scale. The new scale shows large similarities with the one of Pettifor, but also striking differences, especially in what comes to the ordering of the non-metals.

Citations: (Google scholar)

DOI: 10.1088/1367-2630/18/9/093011

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Bibtex:

@article{Glawe_2016,
	doi = {10.1088/1367-2630/18/9/093011},
	url = {https://doi.org/10.1088%2F1367-2630%2F18%2F9%2F093011},
	year = 2016,
	month = {sep},
	publisher = {{IOP} Publishing},
	volume = {18},
	number = {9},
	pages = {093011},
	author = {Henning Glawe and Antonio Sanna and E K U Gross and Miguel A L Marques},
	title = {The optimal one dimensional periodic table: a modified Pettifor chemical scale from data mining},
	journal = {New Journal of Physics}
}