research papers
On the cumulant analysis of
in crystalline solidsaIstituto Nazionale per la Fisica della Materia and Dipartimento di Fisica dell'Università di Trento, Via Sommarive 14, I-38050 Povo (Trento), Italy, and bDipartimento Scientifico e Tecnologico, Università di Verona, Strada le Grazie, I-37134 Verona, Italy
*Correspondence e-mail: fornasin@science.unitn.it
The analysis of temperature-dependent a) The connection between lattice dynamics and cumulants of the real distribution is studied and the extent of the usual approximations are numerically evaluated. Atomic vibrations perpendicular to the bond direction make the larger than the crystallographic one; the difference is connected to a shift of the effective pair potential rather than to its asymmetry. Peculiar information on lattice dynamics of crystals can be obtained from accurate measurements and their cumulant analysis. (b) The differences between cumulants of the real and effective distribution ( and , respectively) are calculated for various physically realistic distributions. The largest discrepancy concerns the first cumulant: measures the of the interatomic bond, while is a better estimate of the crystallographic (c) The convergence properties of the cumulant series are discussed and some phenomenological procedures are suggested to monitor and possibly work out the connected failures of the cumulant method. Benefits and risks of the use of an effective pair potential are at last debated.
spectra based on the cumulant expansion is critically reviewed, seeking for accurate relations between parameters and physical properties of crystals. The treatment is based on the distinction between the real and effective distribution of distances, and is divided into three logical steps. (Keywords: EXAFS; cumulant analysis of EXAFS; anharmonicity; local thermal expansion.
1. Introduction
The standard treatment of thermal disorder in et al., 1981) has become inadequate with respect to the increasing accuracy of experimental data and analysis techniques. After the first pioneering studies of AgI (Boyce et al., 1981) and CuBr (Tranquada & Ingalls, 1983), recent works have shown that anharmonic effects cannot be neglected even for systems like germanium (Dalba, Fornasini, Grazioli & Rocca, 1995) or GaAs (Dalba et al., 1994).
through a harmonic Debye–Waller factor (LeeThe cumulant expansion approach to ; Crozier et al., 1988) facilitates both the theoretical interpretation (Frenkel & Rehr, 1993; Miyanaga & Fujikawa, 1994; Hung & Rehr, 1997; Yokoyama, 1998; Katsumata et al., 2001) and the experimental analysis of anharmonic effects (Tranquada & Ingalls, 1983; Dalba et al., 1993; Yokoyama et al., 1997). The cumulants parametrize the distribution of interatomic distances and can be connected to the of an effective pair potential (Stern et al., 1991; Yokoyama et al., 1996). Several review papers have been recently dedicated to the Debye–Waller factor, including anharmonicity effects (Dalba & Fornasini, 1997; Fornasini, 2001).
(Bunker, 1983The sensitivity of et al., 1994). To this effect, both the first and third cumulant have often been considered equally sensitive to This equivalence corresponds to considering the shift of the average value of the distance distribution as entirely due to the asymmetry of the effective potential. Accurate measurements on different crystals (Eisenberger & Brown, 1979; Dalba et al., 1999) have, however, shown that the first cumulant is larger than the distance between the centres of thermal ellipsoids owing to the effect of atomic vibrations normal to the bond direction (Willis & Pryor, 1975; Ishii, 1992); as a consequence, measures a larger that the crystallographic one. For germanium, the third cumulant reproduces the crystallographic through the ratio C3/2C2, suggesting that the thermal vibrations normal to the bond induce a positive shift of the effective pair potential, without affecting its asymmetry (Dalba et al., 1999). For other crystals, however, the is not reproduced either by the first or by the third cumulant, and a negative shift of the effective potential is observed when the temperature increases (Dalba, Fornasini, Gotter & Rocca, 1995; Kamishima et al., 1997; Dalba et al., 1998).
to anharmonicity can be exploited to study the local (TrögerThese experimental results pose two questions, the first one concerning the actual accuracy of interatomic distances obtained from
the second one concerning the possibility of obtaining peculiar information on local dynamics. The aim of this paper is to contribute to the advancement in these topics, seeking for a deeper understanding of the relations between the parameters and the real structural and thermodynamical properties of crystals.We will rely on the distinction between real and effective distributions (Bunker, 1983). Three logical steps will be singled out and separately considered. The first step is the reduction of two three-dimensional distributions of atomic positions into a one-dimensional real distribution of interatomic distances. This process is of geometrical nature, and depends on the vibrational properties of the crystal. The second step is the sampling of the real distribution by the photoelectron spherical wave, leading to an effective distribution of distances. This process depends on the mechanism. The third step is the extraction of structural parameters from spectra. This process depends on the analysis procedure. Following this schedule, we will distinguish three families of quantities: the cumulants of the real distribution, , those of the effective distribution, , and the polynomial coefficients obtainable from the analysis, .
The cumulant method, as well as the distinction between real and effective distribution and the use of an effective pair potential, have been recently criticized (Filipponi, 2001). Actually, convergence problems can pose severe limitations to the cumulant method, in particular when dealing with structural disorder. Here we will only consider thermal disorder in the first coordination shell of crystals, and refer to temperature-dependent measurements analysed by the ratio method (Dalba et al., 1993), taking the lowest-T spectrum (typically at liquid helium temperature) as reference for phase shifts, backscattering amplitudes and anelastic terms. The single scattering treatment in the plane-wave approximation is suitable for first-shell moderate thermal disorder. The soundness of this method has been checked on several systems, and has been recently confirmed by the accuracy of the results obtained on germanium (Dalba et al., 1999) and their reproducibility by ab initio calculations (G. Birner, P. Pavone & D. Strauch, private communication). The distinction between real and effective distribution allows the separation of different effects depending on different causes and can facilitate the comparison of results with the results from other techniques.
This paper is organized as follows. In §2 the connection between cumulants of the real distribution and the local vibrational properties is studied in the case of an ideally harmonic crystal. In §3, approximate relations between cumulants of the real and effective distributions are established. In §4 the connection between polynomial coefficients, , and cumulants of the effective distribution, , is explored. §5 contains some considerations about the effective potential, and §6 is dedicated to conclusions.
2. Real distribution of distances
Let us find the relations between the first cumulants of the real distribution of distances and the local thermal properties of the crystal. Here, is the probability per unit radial length. We will restrict our treatment to an ideally harmonic crystal potential, so that the three-dimensional distributions of atomic positions are ellipsoids and there is no crystallographic thermal expansion.
The instantaneous distance r is connected to the R by
where is the instantaneous relative displacement and is its projection parallel to the bond. Below we will consider also the projection perpendicular to the bond: = . To simplify the notation, we will write insteadof.
The distribution can be connected to a one-dimensional mean force pair potential, Ve (Cusack, 1987). In classical approximation,
2.1. Cumulants and lattice dynamics
Following the procedure introduced by Beni & Platzman (1976) for the Debye–Waller factor, we find approximate expressions of the first cumulants of from canonical averages based on the power expansion of (1).
For the first cumulant = , to first order and in harmonic approximation one has (Busing & Levy, 1964)
The thermal vibrations perpendicular to the bond cause a positive shift of with respect to R and give rise to an apparent also for a harmonic crystal. By comparing the with R, the value for germanium has been recently obtained as a function of temperature (Dalba et al., 1999), in good agreement with dynamical calculations based both on models (Nielsen & Weber, 1980) and ab initio (G. Birner, P. Pavone & D. Strauch, private communication).
The second cumulant C2* = is the mean square relative displacement (MSRD). An approximate expression based on (1) is
where the first term on the right-hand side is the parallel MSRD, and the third term is the variance of the distribution of . In the case of isotropy, = and (4) reduces to
It is customary to truncate (4) at the first term (Beni & Platzman, 1976),
The relation between and depends on the peculiar vibrational properties of the crystal. Only for an ideally isotropic crystal would the ratio = be equal to 2 (Ishii, 1992); for the first shell of germanium the ratio increases with temperature to an asymptotic value of about 6 (Nielsen & Weber, 1980; Dalba et al., 1999). While can be directly obtained from through (6), can only be calculated from (3), once R is known from other techniques.
The third cumulant, corresponding to the third central moment, C3* = , is the mean cubic relative displacement (MCRD). The lowest-order approximate expression based on (1) is
The term within square brackets is the covariance between and , which is zero in harmonic approximation.
2.2. Analytical form of the distribution
Complementary information can be gained by studying the analytical expression of the distribution . We will follow the approach of Stern (1997), with the difference of a clear-cut distinction between real and effective distribution and the restriction to a harmonic crystal.
Let us first consider a Gaussian isotropic three-dimensional distribution , with = = = . For , the one-dimensional real distribution can be expressed as
the first three cumulants are
and the position of the maximum is
Equations (9) and (10) correspond to (3) and (5), respectively, since, in the case of isotropy, = = . The right-hand sides of (9) and (12) are equal; the apparent induced by perpendicular atomic vibrations, (3), is to first order amenable to a shift of the maximum of the distribution, e.g. of the minimum of the effective pair potential Ve. The contribution of the asymmetry of Ve to the apparent measured by the third cumulant, is negligible in comparison.
Let us now relax the condition of isotropy, and consider a Gaussian three-dimensional distribution , with variances = along the bond direction and = = in the normal plane. An approximate expression for the one-dimensional real distribution is (Stern, 1997)
The first cumulant of this distribution,
is in agreement with (3), since = . The second cumulant,
is instead different from (4), suggesting that the approximations leading to (13) are too strong to allow a comparable accuracy.
2.3. Numerical simulations
The expressions for the cumulants and the maximum position of the real distribution given above are based on approximations. The errors introduced by these approximations depend on the overall degree of both thermal disorder and anisotropy. A quantitative evaluation has been attempted by a numerical simulation, consisting of the random sampling of a three-dimensional Gaussian distribution to reconstruct the one-dimensional distribution and calculate its parameters and rmax.
The width and anisotropy of the three-dimensional distribution were varied by imposing different values of = and of the ratio = = = . The results of the simulations are summarized in Figs. 1–4 as functions of the relative width C2*/R2 and for different values of the ratio . Typical first-shell experimental values of C2*/R2 at 400 K range from 0.0006 for germanium to 0.0025 for -AgI. The ratio does not exceed 6 for the first shell of germanium and does not exceed 10 for the first shell of -AgI.
Fig. 1 refers to the MSRD, as expressed in (4), and shows the percentage error which is made by the usual approximation C2* = in an ideal harmonic crystal. In the case of isotropy, = 2, the value slightly exceeds C2*, as expected from (5). As soon as anisotropy is introduced, becomes smaller than C2*, as an effect of the third term in (4). In any case, for first-shell realistic values of C2*/R2 and , the difference does not exceed 0.5%. In real crystals, the discrepancy between C*2 and is augmented by anharmonicity effects (Dalba, Fornasini, Grazioli & Rocca, 1995; Strauch et al., 1996).
Fig. 2 refers to the apparent C1*-R induced by perpendicular vibrations, and shows the error caused by neglecting higher-order terms with respect to (3). The error increases with anisotropy , but is smaller than 1% for realistic first-shell cases.
Fig. 3 connects the apparent C1*-R to the shift of the maximum position of the distribution, rmax-R. In the case of anisotropy, the numerical simulations extend the results found analytically for isotropic distributions [equations (9) and (12)]. In the case of isotropy, the shift of the maximum position completely accounts for the apparent The discrepancy increases with anisotropy, but is always smaller than 4% for realistic first-shell cases.
The connection between cumulants of the real distribution and mean square relative displacements has been performed here for an ideal harmonic crystal. The results are nevertheless relevant also for real crystals. In a recent C3*/2C2* very well reproduced the crystallographic without being affected by atomic vibrations perpendicular to the bond (Dalba et al., 1999). It was then argued that the apparent induced by perpendicular vibrations mainly corresponded to a positive shift of the minimum of the effective potential, and not to its asymmetry. The present numerical results confirm those assumptions. As further evidence, in Fig. 4 the asymmetry coefficients C3*/(C2*)3/2 calculated for an ideally harmonic crystal (full symbols) are compared with the experimental values measured for germanium (open diamonds). The comparison confirms that the main contribution to the experimental third cumulant comes from the crystal anharmonicity, and the contribution of the vibrations perpendicular to the bond is negligible.
work on germanium it was found that the ratio3. Effective distribution of distances
The effective distribution of distances measured by
is generated by the weakening of the photoelectron wave with distance r, because of its spherical nature and finite . The cumulants are defined by the relation
If the k-independent cumulants, respectively. According to Bunker (1983), the weak k dependence of can be treated as a perturbation with respect to a central value , leading to the addition of even and odd cumulants into the expressions of phase and amplitude, respectively. These additive terms, containing the k dependence of , can be non-negligible; however, they cancel when the analysis is performed by comparison with a suitable reference, as is the case of temperature-dependent measurements analysed by the ratio method. This analysis procedure justifies the usual assumption of a k-independent effective distribution,
were a constant, then the phase and amplitude of would depend only on odd and evenA rough quantitative estimate of the error induced by neglecting the k dependence of has been attempted utilizing the experimental values of C2 for the first shell of germanium at 77 and 450 K. The results are shown in Fig. 5. Neglecting the k dependence of in the analysis causes an under-evaluation of the slope, e.g. of C2 by about 40% at 77 K and 15% at 450 K. The error is, however, cancelled when the relative value C2(450 K) − C2(77 K) is considered.
3.1. Analytical relations between cumulants
We want now to investigate the connection between the cumulants of the real and effective distributions. To this effect, let us rewrite (18) as
where A = , = and = . The index in has been omitted for clarity. Let and be the moments of the effective and real distributions, respectively. By expanding as a Taylor series around r = , one finds the relations between the moments,
where indicate first, second, third, derivatives of with respect to r, and
The cumulants are linear combinations of moments,
From (20) one can obtain approximate relations connecting the cumulants. In particular, one recovers the expression for the first cumulants already derived by Freund et al. (1989) and currently utilized in analyses,
3.2. Numerical simulations
A quantitative evaluation of the difference between the cumulants up to the third order has been attempted by direct calculations performed on a set of distributions with physically reasonable parameters: (a) Gaussian distributions with different values of position and width; (b) skewed distributions = Bexp[-B(r-r0)] with different values of position r0 and skewness parameter B, convoluted with Gaussian distributions of different width; (c) two distributions derived from the excluded volume model for the I—Ag distance in -AgI at 300 and 370 K (Boyce et al., 1981); (d) the distributions of the Cd—Se distance in CdSe obtained at various temperatures from 18 to 300 K from measurements (Dalba et al., 1998).
The results for the first cumulant are shown in Fig. 6. As expected, according to (26), is always smaller than . The relative extent of the difference (open symbols, left-hand scale) increases with the relative width of the distribution. The difference, ranging from a few thousandths to more than one hundredth of an Ångström for realistic first-shell cases, can hardly be neglected. The upper part of the figure (full symbols, right-hand axis) shows that the difference is satisfactorily accounted for by the first-order term of (26).
The results for the second cumulant are shown in Fig. 7. The upper part of the figure (squares, upper axis) refers to real distributions of Gaussian shape: C2 is larger than C2*, the relative difference increasing with the width of the distribution. The lower part of the figure refers to asymmetric real distributions . A regular trend is evidenced if plotted against the adimensional variable C3*/(C2* C1*), whose experimental first-shell values at 400 K range from 0.006 for germanium to 0.018 for -AgI. C2 is now smaller than C2*, the difference increasing with the asymmetry C3* and decreasing with the width C2*.
The results for the third cumulant are shown in Fig. 8. Here, only asymmetric real distributions have been considered. A regular trend is evidenced if the plot is performed against the adimensional variable C4*/(C3* C1*), whose experimental value is about 0.1 for the first shell of -AgI at 400 K. C3 is smaller than C3*, the difference increasing with the flatness C4* and decreasing with the asymmetry C3*.
3.3. and local distance
The interatomic distance is the basic physical quantity to which , the first cumulant of the real distribution is larger than the distance R between the centres of thermal ellipsoids owing to the effect of perpendicular vibrations. On the other hand, according to (26), the first cumulant of the effective distribution is smaller than , owing to the weakening of the photoelectron wave with distance.
is sensitive; its accurate determination is, however, far from trivial. According to (3)The two effects to a large extent compensate each other. To give an example, a comparison between R, and for germanium is shown in Fig. 9 (Dalba et al., 1999). is a better estimate of R than . The temperature dependence of measures the of the chemical bond between absorber and backscatterer atoms. According to (3), the difference between and R contains peculiar information on .
4. Experimental determination of cumulants
The number of independent parameters which can be obtained from an ). As a consequence, the cumulant expansion of (17) has to be truncated and only a finite number of polynomial coefficients can be derived from analysis. For high-quality spectra, the cumulant order n can be as high as 6; usually .
spectrum is limited by the and windows (Stern, 1993The question arises of the accuracy by which the polynomial coefficients approximate the cumulants . This problem was firstly addressed by Dalba et al. (1993) in a paper dedicated to thermal disorder in -AgI. There, a procedure was suggested, based on temperature-dependent measurements: the polynomial coefficients can be considered good estimates of the cumulants if their temperature dependence is physically reasonable, i.e. Einstein-like for , proportional to T 2 and T 3 for and , respectively. Progressive deviations from expected behaviours when the temperature increases indicate the need for higher-order polynomial coefficients, if not the breaking off of the convergence properties. The soundness of this criterion was supported by tests on model distributions. In any case, only the first three cumulants are generally taken into account for their physical meaning, and for them the correspondence with the polynomial coefficients is important; higher-order polynomial coefficients are often introduced in the analysis only to guarantee the accuracy of the first three cumulants.
An k = 0 and to reconstruct, by Fourier transform, the distribution of distances (Stern et al., 1992; Ono et al., 1993). Tests on model distributions (Dalba et al., 1993) have shown that, also when the polynomial coefficients are dramatically different from cumulants, as for skewed distributions with rather pathological convergence properties, they allow a reasonably accurate reconstruction of the starting distribution.
spectrum samples a portion of the characteristic function of . The cumulant expansion is often utilized to extrapolate the characteristic function toWhen the ratio method is utilized for the analysis of C2 is well established (Dalba & Fornasini, 1997); classical T 2 and T 3 behaviours are used for third and fourth cumulants, respectively. Recently, low-temperature quantum deviations of the third cumulant from the classical behaviour have been experimentally observed (Dalba et al., 1999), in agreement with theoretical calculations (Frenkel & Rehr, 1993; G. Birner, P. Pavone & D. Strauch, private communication).
spectra, only values relative to the reference spectrum can be obtained. If temperature-dependent measurements are available, absolute values of can be calculated by fitting the temperature dependence of with physical models. The use of the Einstein and Debye models forThe ratio method can be safely used when only one atomic species is present in the studied coordination shell and multiple scattering contributions are negligible. In spite of not giving absolute values of the cumulants, the ratio method has the advantage that backscattering amplitudes, phase shifts and anelastic terms cancel; also the spherical wave corrections and, as previously observed, the additive terms containing the k dependence of to a great extent cancel. Besides, the plots of phase differences and amplitude ratios at the basis of the ratio method are very sensitive to statistical noise and systematic errors, allowing a rather fast and easy assessment of the accuracy and reliability of experimental results.
The cumulant expansion and the ratio method have provided accurate and original results on thermodynamical properties of perfect crystals. The extension of these analysis techniques to systems affected by structural disorder is problematic, the main limitation being the poor convergence properties of the cumulant series. However, while the cumulant method is certainly useless for liquid systems (Filipponi, 2001), for amorphous solid systems the situation is not clear-cut. As a matter of fact, in an study of amorphous germanium thin films (Dalba et al., 1997) it was possible to separate the contributions of thermal and structural disorder, and the distribution reconstructed from cumulants was in good agreement with the distribution obtained by Filipponi & Di Cicco (1995) through a completely different approach. Recently, the cumulant method was again used to study the implantation-induced microstructural modifications in a-Ge (Ridgway et al., 2000).
5. Effective pair potential
The basic result of the analysis of an Ve(r) through (2) requires some comments.
spectrum is the determination of a distribution of distances , or at least of its leading parameters. The further connection of the distributions to an effective pair potentialFirst of all, the effective potential Ve(r) obtained by inversion of (2) should not be confused with the interaction potential between a pair of atoms. The effective potential Ve(r) depends on the statistically averaged behaviour of all the atoms in the crystal, and can in principle depend on temperature (Mustre de Leon, 1992). The use of the effective potential, eliminating the trivial Maxwell Boltzmann temperature dependence of , allows the residual temperature dependence to be emphasized, which is connected to more subtle physical effects.
Secondly, (2) is based on the classical approximation; its use at low temperatures, where the classical approximation fails, leads to a meaningless potential Ve(r), whose shape dramatically changes with temperature (Dalba et al., 1998).
For the cases studied up to now, it seems reasonable to assume that, in the range of validity of the classical approximation, the temperature dependence of Ve(r) is limited to its minimum position, the shape being unaffected. The temperature dependence of the first cumulants is then a joint effect of the shift of the potential minimum and of the potential asymmetry. As it was previously demonstrated, the thermal vibrations perpendicular to the bond direction always produce a positive shift of the minimum position of Ve(R).
In the case of germanium, it was possible to distinguish experimentally the two effects: the asymmetry of the potential Ve(R), monitored by the ratio C3*/2 C2*, fully accounts for the crystallographic of the crystal, while the positive shift of the potential minimum is due to the atomic perpendicular vibrations (Dalba et al., 1999).
The situation is more complex in other systems. A negative shift of the minimum position of Ve(r) has been experimentally observed in superionic conductors AgI (Dalba, Fornasini, Gotter & Rocca, 1995) and CuBr (Kamishima et al., 1997). Correspondingly, the ratio C3*/2 C2* is unable to account for The negative contribution to the potential shift is evidence of an anomalous local behaviour. The negative shift of CuBr and AgI has been recently reproduced by theoretical investigations based on a cluster distortion coupling model (Ishii & Kamishima, 2001).
6. Conclusions
The cumulant analysis of
spectra can provide very accurate results on the local structure and dynamics of crystalline systems.The highest accuracy, at least for relative values, is obtained when temperature-dependent measurements are performed down to liquid helium temperature and the data analysis is performed by the ratio method. In this way, the convergence properties of the cumulant series can be evaluated from the temperature dependence of the polynomial coefficients obtained from the analysis. Besides, the ratio method allows an efficient cancellation of unknown physical quantities, including the k dependence of the and an easy evaluation of the quality of experimental data and of the reliability of final results.
Extracting the maximum of structural and dynamical information from
results requires a good knowledge of the relations connecting the cumulants of the effective distribution to the cumulants of the real distribution and to the physical properties of the crystal. These relations and their usual approximations have been quantitatively studied in this paper.Particularly intriguing is the determination of the interatomic distance and its temperature dependence. The first cumulant of the real distribution, , is larger than the crystallographic distance R; its temperature dependence measures the of the interatomic bond. The first cumulant of the effective distribution, , has no direct physical meaning; in any case it can be considered a better estimate of the crystallographic distance R than .
The understanding of the difference between
and crystallographic distances is necessary to assess the accuracy of structural parameters obtained from The study of crystalline model compounds is a sort of calibration for subsequent applications to more complex systems. Besides, a clear-cut definition of the distance is important when accurate multiple-scattering calculations are attempted.The different temperature dependence of and R provides peculiar information on atomic vibrations perpendicular to the bond. This property, besides its fundamental interest for testing the phase relationships between eigenvectors of the dynamical matrix obtained from calculations, can be exploited to study phenomena in which perpendicular vibrations play a relevant role, like negative and order–disorder or displacive phase transitions.
Finally, the temperature dependence of the
effective pair potential can help in clarifying the relations existing between the local dynamical behaviour and the average thermodynamical properties of materials.Acknowledgements
The authors are indebted to G. Dalba, R. Grisenti, F. Rocca and D. Diop for their long-term cooperation in experimental work, and to R. Gotter, D. Pasqualini, J. Purans, A. Kuzmin, S. a Beccara, D. Strauch and P. Pavone for helpful discussions.
References
Beni, G. & Platzman, P. M. (1976). Phys. Rev. B, 14, 1514–1518. CrossRef CAS Web of Science
Boyce, J. B., Hayes, T. M. & Mikkelsen, J. C. (1981). Phys. Rev. B, 23, 2876–2896. CrossRef CAS Web of Science
Bunker, G. (1983). Nucl. Instrum. Methods, 207, 437–444. CrossRef CAS Web of Science
Busing, W. R. & Levy, H. A. (1964). Acta Cryst., 17, 142–146. CrossRef CAS IUCr Journals Web of Science
Crozier, E. D., Rehr, J. J. & Ingalls, R. (1988). In X-ray Absorption, edited by D. C. Koningsberger & R. Prins. New York: Wiley.
Cusack, N. E. (1987). The Physics of Structurally Disordered Matter. Bristol: Adam Hilger.
Dalba, G., Diop, D., Fornasini, P. & Rocca, F. (1994). J. Phys.Condens. Matter, 6, 3599–3608. CrossRef CAS Web of Science
Dalba, G. & Fornasini, P. (1997). J. Synchrotron Rad. 4, 243–255. CrossRef CAS Web of Science IUCr Journals
Dalba, G., Fornasini, P., Gotter, R. & Rocca, F. (1995b). Phys. Rev. B, 52, 149–157. CrossRef CAS Web of Science
Dalba, G., Fornasini, P., Grazioli, M. & Rocca, F. (1995a). Phys. Rev. B, 52, 11034–11043. CrossRef CAS Web of Science
Dalba, G., Fornasini, P., Grisenti, R., Pasqualini, D., Diop, D. & Monti, F. (1998). Phys. Rev. B, 58, 4793–4802. Web of Science CrossRef CAS
Dalba, G., Fornasini, P., Grisenti, R. & Purans, J. (1999). Phys. Rev. Lett. 82, 4240–4243. Web of Science CrossRef CAS
Dalba, G., Fornasini, P., Grisenti, R., Rocca, F., Chambouleyron, I. & Graeff, C. F. O. (1997). J. Phys. Condens. Matter, 9, 5875–5888. CrossRef CAS Web of Science
Dalba, G., Fornasini, P. & Rocca, F. (1993). Phys. Rev. B, 47, 8502–8514. CrossRef CAS Web of Science
Eisenberger, P. & Brown, G. S. (1979). Solid State Commun. 29, 481–484. CrossRef CAS Web of Science
Filipponi, A. (2001). J. Phys. Condens. Matter, 13, R23–R60. Web of Science CrossRef CAS
Filipponi, A. & Di Cicco, A. (1995). Phys. Rev. B, 51,12322–12336. CrossRef CAS Web of Science
Fornasini, P. (2001). J. Phys. Condens. Matter, 13, 7859–7872. Web of Science CrossRef CAS
Frenkel A. I. & Rehr, J. J. (1993). Phys. Rev. B, 48, 585–588.
Freund, J., Ingalls, R. & Crozier, E. D. (1989). Phys. Rev. B, 39, 12537–12547. CrossRef CAS Web of Science
Hung, N. V. & Rehr, J. J. (1997). Phys. Rev. B, 56, 43–46. CrossRef Web of Science
Ishii, T. (1992). J. Phys. Condens. Matter, 4, 8029–8034. CrossRef Web of Science
Ishii, T. & Kamishima, O. (2001). J. Phys. Soc. Jpn, 70, 159–166. Web of Science CrossRef CAS
Kamishima, O., Ishii, T., Maeda, H. & Kashino, S. (1997). Solid State Commun. 103, 141–144. CrossRef CAS Web of Science
Katsumata, H., Miyanaga, T., Yokoyama, T., Fujikawa, T. & Ohta, T. (2001). J. Synchrotron Rad. 8, 226–228. Web of Science CrossRef CAS IUCr Journals
Lee, P. A., Citrin, P. H., Eisenberger, P. & Kincaid, B. M. (1981). Rev. Mod. Phys. 53, 769–806. CrossRef CAS Web of Science
Miyanaga, T. & Fujikawa, T. (1994). J. Phys. Soc. Jpn, 63, 1036–1052. CrossRef CAS Web of Science
Mustre de Leon, J., Conradson, S. D., Batistić, I., Bishop, A. R., Raistrick, D., Aronson, M. C. & Garzon, F. H. (1992). Phys. Rev. B, 45, 2447–2457. CrossRef CAS
Nielsen, O. H. & Weber, W. (1980). J. Phys. C, 13, 2449–2460. CrossRef CAS Web of Science
Ono, I., Yokoyama, T., Sato, H., Kaneyuki, K. & Ohta, T. (1993). Jpn. J. Appl. Phys. Suppl. 32(2), 383–85.
Ridgway, M. C., Glover, C. J., Yu, K. M., Foran, G. J., Clerc, C., Hansen, J. L. & Nylandsted Larsen, A. (2000). Phys. Rev. B, 61, 12586–12589. Web of Science CrossRef CAS
Stern, E. A. (1993). Phys. Rev. B, 48, 9825–9827. CrossRef CAS Web of Science
Stern, E. A. (1997). J. Phys. (Paris), C2, 137–140.
Stern, E. A., Livins, P. & Zhang, Z. (1991). Phys. Rev. B, 43, 8850–8860. CrossRef CAS Web of Science
Stern, E. A., Ma, Y., Hanske-Petitpierre, O. & Bouldin, C. E. (1992). Phys. Rev. B, 46, 687–694. CrossRef CAS Web of Science
Strauch, D., Pavone, P., Nerb, N., Karch, K., Windl, W., Dalba, G. & Fornasini, P. (1996). Physica B, 219/220, 436–438. CrossRef Web of Science
Tranquada, J. M. & Ingalls, R. (1983). Phys. Rev. B, 28, 3520–3528. CrossRef CAS Web of Science
Touloukian, Y. S., Kirby, R. K., Taylor, R. E. & Desay, P. D. (1977). Thermophysical Properties of Matter, Vol. 13. New York: Plenum.
Tröger, L., Yokoyama, T., Arvanitis, D., Lederer, T., Tischer, M. & Baberschke, K. (1994). Phys. Rev. B, 49, 888–903. CrossRef Web of Science
Willis, B. T. M. & Pryor, A. W. (1975). Thermal Vibrations in Crystallography. Cambridge University Press.
Yokoyama, T. (1998). Phys. Rev. B, 57, 3423–3432. Web of Science CrossRef CAS
Yokoyama, T., Ohta, T, & Sato, H. (1997). Phys. Rev. B, 55, 11320–11329. CrossRef CAS Web of Science
Yokoyama, T., Yonamoto, Y., Ohta, T. & Ugawa, A. (1996). Phys. Rev. B, 53, 6111–6122. CrossRef CAS Web of Science
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.