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Volumn 44, Issue 25, 2005, Pages 3917-3921

Cluster disorder and ordering principles in Al-stabilized "LaI"

Author keywords

Cluster compounds; Diffuse scattering; Disorder; Lanthanum; Subiodides

Indexed keywords

COMPOSITION; CRYSTAL LATTICES; DATA REDUCTION; DIFFRACTION; DIFFUSION; STATISTICAL METHODS;

EID: 21244444342     PISSN: 14337851     EISSN: None     Source Type: Journal    
DOI: 10.1002/anie.200500594     Document Type: Article
Times cited : (11)

References (43)
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    • A good overview including many references has been given by H. Jagodzinski, F. Frey in International Tables for Crystallography, Vol. B (Ed.: H. Shmueli), Kluwer, Dordrecht, 2001, pp. 407-442.
    • (2001) International Tables for Crystallography , vol.B , pp. 407-442
    • Jagodzinski, H.1    Frey, F.2
  • 3
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    • Methods that have been used for a quantitative fit of diffuse data include reverse Monte Carlo, least-squares, and evolutionary (genetic) algorithms: a) T. Weber, H.-B. Bürgi, Acta Crystallogr. Sect. A 2002, 58, 526;
    • (2002) Acta Crystallogr. Sect. A , vol.58 , pp. 526
    • Weber, T.1    Bürgi, H.-B.2
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    • note
    • [14]
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    • Angew. Chem. Int. Ed. 2002, 41, 4257. In the latter case, a reasonable structural model was not evident from the averaged structure, but a "semiquantitative" analysis of diffuse diffraction data was successful.
    • (2002) Angew. Chem. Int. Ed. , vol.41 , pp. 4257
  • 27
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    • This algorithm mimics the principles of Darwinism (for a detailed overview, cf. Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer, Berlin, 1996). It starts from a "population" of diverse structure models, each one characterized by its "genes", that is, a set of parameters defining a model crystal as the "phenotype". Its "fitness" corresponds to the crystallographic R factor based on all individual pixels of the diffraction image and not only on a set of Bragg intensities.
    • (1996) Genetic Algorithms + Data Structures = Evolution Programs
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    • A new generation is created from the parent population by recombination and variation ("mutation") of the parameters ("genes"). Here, we used so-called differential evolution (K. Price, R. Storn, Dr Dobb's J. 1997, April issue, 18 ;
    • (1997) Dr Dobb's J. , Issue.APRIL ISSUE , pp. 18
    • Price, K.1    Storn, R.2
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    • R. Storn, K. Prince, J. Global Optimization 1997, 11, 341; and ref. [2a]) replacing parents by "fitter" children (models with better R factors) and discarding "unfit" members of each new generation.
    • (1997) J. Global Optimization , vol.11 , pp. 341
    • Storn, R.1    Prince, K.2
  • 30
    • 0000344449 scopus 로고    scopus 로고
    • max = 45°, beam normal to oscillation axis and normal to detector, 492 frames, Δφ = 0.5°/frame, reconstruction of undistorted reciprocal layers with XCAVATE (M. A. Estermann, W. Steurer, Phase Transitions 1998, 67, 165). Monte Carlo model: An initial model structure containing a random distribution of clusters was modified by swapping cluster and noncluster positions. The energy difference between the old and the new configuration was calculated based on the model parameters, and the new configuration was accepted with a probability following a Boltzmann distribution. Finally, local relaxations around vacancies and interstitial atoms were applied. Neither the cluster interaction nor the total energy can be interpreted as actual energy values, and the parameters of the structure model cannot be directly analyzed. All "interactions" are simply abstract parameters, but the result of the corresponding MC simulation bears physical significance.
    • (1998) Phase Transitions , vol.67 , pp. 165
    • Estermann, M.A.1    Steurer, W.2
  • 32
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    • note
    • Atom shifts from Bragg data are just a mean displacement ("octahedral" split position) from the atom positions of the NaCl type: 0.25(1) Å for La and 0.22(1) Å for I. They can be compared only approximately with the results from diffuse data, which model the actual situation more clearly: an "attractive force" between Al and La yields a refined La-Al distance of 2.8 Å. A "repulsive force" between La and 1 (avoiding short contacts) leads to an average distance of 3.3 Å for the inner and 3.5 Å for the outer ligands. The root-mean-square displacements as obtained from the Monte Carlo modeling were 0.40 Å for La and 0.19 Å for 1 (based on diffuse data only).
  • 33
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    • Universität Göttingen, Göttingen (Germany)
    • 2 = 0.068/0.066, GooF = 1.14 for 41 observed reflections [I > 2σ(1)] and 6 parameters. Further details on the crystal structure investigations may be obtained from the Fachinformationszentrum Karlsruhe, 76344 Eggenstein-Leopoldshafen, Germany (fax: (+49)7247-808-666; e-mail: crysdata@fiz-karlsruhe.de), on quoting the depository number CSD-391280.
    • (1997) SHELXL-97, Program for the Refinement of Crystal Structures
    • Sheldrick, G.M.1
  • 34
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    • 6 cathode, Gatan multiscan CCD camera). The multislice formalism (P. A. Stadelmann, Ultramicroscopy 1987, 21, 131-146) was used for image simulations.
    • (1987) Ultramicroscopy , vol.21 , pp. 131-146
    • Stadelmann, P.A.1
  • 35
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    • note
    • A quantitative analysis of the diffuse data from crystals with partial long-range ordering could not be performed due to moderate crystal quality and very weak diffuse intensity as well as limited computational resources. As it is common for many partially ordered cubic structures, the space group assignment (including possible twinning) remains ambiguous in this case.


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