051910-3
Bazzanella, Checchetto, and Miotello
Appl. Phys. Lett. 92, 051910 ͑2008͒
terms of an increased Fe nanocluster density. Because Fe
nanoclusters act as nucleation centers for the h-Mg phase in
tion kinetics results, thus, accelerated. In addition, we may
also suggest that in the present samples, the Zr atoms also
can act as stable and distributed active centers for h-Mg
nucleation in the -MgH matrix during desorption, as ob-
2
served in MgH samples with Nb additive atomically
2
dispersed. Finally, the very high value of the preexponential
factor ͑A͒ which contributes to increase the desorption kinet-
ics should be explained.
Preliminary results showed that by lowering the Fe con-
centration while increasing the Zr one, then the kinetics of
the hydrogen desorption tends to decrease. This proves that
there is an optimum Fe and Zr atomic concentration which
establishes the best kinetics conditions for cluster-assisted
hydrogen desorption.
To gain a better understanding of the chemical state of
the Zr additive and, thus, of the catalytic process in the
mixed additive samples, we plan to carry out EXAFS analy-
sis to analyze the atomic environment of the Zr atoms.
In conclusion, we proved that mixed additive may con-
stitute a new route to improve hydrogen kinetics in magne-
sium hydrides by increasing the uniform distribution of
nucleation sites for the growing of the h-Mg phase during
hydrogen desorption.
FIG. 3. XRD spectra pertinent to Mg samples with mixed Fe–Zr additives
completely activated͒ after H desorption. In the figure, only the Fe reflec-
tion peaks are labeled and all others peaks are pertinent to h-Mg reflections.
In the inset we present the Fe ͑110͒ reflection peak pertinent to a sample
with only the Fe additive, line ͑a͒, and to a sample with mixed Fe–Zr
additives, line ͑b͒. The thick line is the reference position of the Fe ͑110͒
͑
2
of these diffraction peaks indicates that the ␣-Fe nanoclus-
ters have a random distribution in the Mg matrix. The ␣-Fe
clusters size is lower than in Mg samples with single Fe
additive, ϳ30 nm, as evaluated by the Bragg–Brentano
analysis of the ͑110͒ reflection peak presented in the inset of
Fig. 3, line ͑a͒ ͑this is the only ␣-Fe reflection in the XRD
spectrum͒. Both samples have the same Fe content, ϳ5 at. %
and, assuming that all Fe atoms form precipitates, we con-
clude that the sample with mixed additives presents a higher
Fe cluster density.
We thank Cristina Armellini for XRD analysis. We also
acknowledge Romina Belli for EDS analysis. The research
activity is financially supported by the Hydrogen-FISR Ital-
ian project.
1
The difference in the Fe clustering can be explained by
the lower mobility of Zr atoms, as compared to that of the Fe
atoms. Because the maximum solubility of Zr in Mg is lower
than the present concentration, then Zr atoms segregate in
extended defects such as grain boundaries or dislocations. In
the Mg sample with Zr as single additive, after segregation
A. Borgschulte, U. Boesenberg, G. Barkhordarian, M. Dornheim, and R.
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͑2005͒.
upon diffusion, Zr atoms aggregate forming clusters. In the
sample with mixed additives, these Zr clusters are not ob-
served. As shown by Fig. 3, the larger Fe mobility suggests
that a possible mechanism impeding the Zr aggregation is the
Fe clustering in the disposable nucleation centers which an-
ticipates the Zr precipitation. The lower size of the Fe clus-
ters in the Mg sample with mixed additives is, thus, conse-
quence of a larger density of available nucleation sites as
compared to that in the Mg sample with single Fe additive.
Indeed, Zr atoms also may constitute precipitation centers for
Fe atoms.
5
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N. Bazzanella, R. Checchetto, A. Miotello, C. Sada, P. Mazzoldi, and P.
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On the basis of the previously discussed Fe clustering
process, we suggest that the presence of mixed additives
gives rise to the optimization of the Fe cluster distribution in
I, 3rd ed. ͑Pergamon, London, 2002͒.
1
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