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Automatic Structure-Sensitive Searching in X-Ray Powder Diffraction

Published online by Cambridge University Press:  10 January 2013

S.D. Kirik
Affiliation:
Institute of Chemistry and Chemical Engineering, Computer Centre of the Academy of Sciences, Krasnoyarsk, 660036, USSR
S.A. Kovyazin
Affiliation:
Institute of Chemistry and Chemical Engineering, Computer Centre of the Academy of Sciences, Krasnoyarsk, 660036, USSR
A.M. Fedotov
Affiliation:
Institute of Chemistry and Chemical Engineering, Computer Centre of the Academy of Sciences, Krasnoyarsk, 660036, USSR

Abstract

The resemblance between powder patterns because of similarity of crystal structures is well known and widely used. This phenomenon facilitates the determination of unit cells and is frequently used to predict crystal structures of new substances. At present the matching of diffraction analogues is done mainly by hand. Some approaches have been considered in this paper for applying a computer to the problem. Four numerical criteria for resemblance of powder patterns are suggested. Powder patterns are matched with patterns in a database by making use of a computer program based on these criteria.

The procedure results in a short list of powder patterns to be examined by the expert. The efficiency of the program is illustrated by examples of calculations for substances of both high and low symmetry. The search system may find an important application in X-ray powder diffraction analysis for the identification of solid solutions, of substances documented under unusual conditions, of structure analogues and for classification of patterns in a database.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1990

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References

Filsinger, D.H.& Frevel, L.K.(1986). Computer automation of structure-sensitive search-match algorithms for powder diffraction analysis. Powder Diffr. 1(1), 2225.CrossRefGoogle Scholar
Fink, W.L.(1962). Fink graphical index. Sets 1-14. Philadelphia: Joint Committee on Powder Diffraction Standards.Google Scholar
Frevel, L.K.(1972). Anal. Chem. 44, 18501857.CrossRefGoogle Scholar
Frevel, L.K.(1982). Anal. Chem. 54, 691697.CrossRefGoogle Scholar
Hausdorff, F.& Mengelehre, A.(1927). Berlin: de Gruyter.Google Scholar
Kirik, S.D., Kovyazin, S.A., & Fedotov, A.M.(1987or 1988). The algorithms determining resemblance of X-ray powder patterns in crystal structure analysis. Preprints, CS SB AS USSR N87-9, Krasnoyarsk.Google Scholar
Kirik, S.D., Kovyazin, S.A., & Fedotov, A.M.(1977or 1988). Doklady AS USSR 300, 614617.Google Scholar
Morton, R.D.and Gold, C.N.(1973).Google Scholar
Morton, R.D.and Gold, C.N.(1968).Google Scholar
Powder Diffraction File(1989). Swarthmore, PA: International Centre for Diffraction Data.Google Scholar
Sturman, D.B.(1974). Graphical Search Index for Minerals. Ontario, Canada: Royal Ontario Museum.Google Scholar
Vasil'ev, E.K.and Nakhmanson, M.S.(1986). Qualitative X-ray phase analysis. Nauka, NovosibirskGoogle Scholar