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Determination of Structure, Shape and Sizes of Clusters Using Radial Distribution Functions (RDF) Method

Published online by Cambridge University Press:  15 February 2011

Pavel E. Kolosov  and
A. V. Bubnov
Pavel E. Kolosov
Affiliation:
Institute of Catalysis, Omsk Department, 54 Neftezavodskaya Street, Omsk, 644040, USSR
A. V. Bubnov
Affiliation:
Institute of Catalysis, Omsk Department, 54 Neftezavodskaya Street, Omsk, 644040, USSR
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Abstract

The theoretical reduced intensity of X-ray scattering i(S) may be calculated for a cluster of any structure using Debye's formula. The comparison of both experimental determination and model calculation of the RDF or i(S) allows, to make a conclusions about structure of materials in a wide region of interatomic distances. This is a very important for direct structure characterization of giant clusters, dispersed molybdenum sulfides etc.. The simple formula for the upper limit of interatomic distances when the data are collected at equidistant step on S – scatterinrg vector, may be used for the optimal experimental conditions selection.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 272: Symposium O – Chemical Processes in Inorganic Materials: Metal and Semiconductor Clusters , 1992 , 295
Copyright
Copyright © Materials Research Society 1992

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References

REFERENCES

1. Eisenberger, P., EXAFS for Inorganic Systems, (Daresbury, 1981).Google Scholar
2. Taylor, J.C., Aust. J. Phys. 38, 519–538(1985).CrossRefGoogle Scholar
3. Narten, A.H. and Levy, H.A., Science 165, 447(1969).Google Scholar
4. Korsunsky, V.I., J. Organomet. Chem. 311. 357–369 (1986).Google Scholar
5. Konnert, J.H. and Karle, J., Acta Cryst. A 29, 702 (1973).CrossRefGoogle Scholar
6. Marple, S. Lawrence Jr.,, Digital Spectral Analysis with Applications, (Prentice-Hall, Inc., Englewood Cliffs, New Jersey 07632, 1987).Google Scholar
7. Teo, B.K. and Sloane, N.J.A., Inorg. Chem. 24, 4545–4558 (1985).CrossRefGoogle Scholar
8. Vargaftik, M.N., Zagorodnikov, V.P., Stolyarov, I.P., Moiseev, I.I., Likholobov, V.A., Kochubey, D.I., Chuvilin, A.L., Zaikovsky, V.I., Zamaraev, K.I., Timofeeva, G.I., J. Chem. Soo., Chem. Commun. 1985, 937–939.Google Scholar
9. Cooley, J.W. and Tukey, J.W., Math. Comp., 19, 297–301, (April 1965).CrossRefGoogle Scholar
10. Schmid, G., Morun, B., Malm, J.-O., Angew. Chem. 101(6), 772–773 (1989).CrossRefGoogle Scholar