Research Article  Open Access
Suchitra Rajput, Sujeet Chaudhary, "On the Fluctuation Induced Excess Conductivity in Stainless Steel Sheathed MgB_{2} Tapes", Journal of Materials, vol. 2013, Article ID 898607, 6 pages, 2013. https://doi.org/10.1155/2013/898607
On the Fluctuation Induced Excess Conductivity in Stainless Steel Sheathed MgB_{2} Tapes
Abstract
We report on the analyses of fluctuation induced excess conductivity in the  behavior in the in situ prepared MgB_{2} tapes. The scaling functions for critical fluctuations are employed to investigate the excess conductivity of these tapes around transition. Two scaling models for excess conductivity in the absence of magnetic field, namely, first, Aslamazov and Larkin model, second, Lawrence and Doniach model, have been employed for the study. Fitting the experimental  data with these models indicates the threedimensional nature of conduction of the carriers as opposed to the 2D character exhibited by the HTSCs. The estimated amplitude of coherence length from the fitted model is ~21 Å.
1. Introduction
Since the discovery of superconductivity in MgB_{2} there has been enormous research owing to its speculated potential applications. Though there has been extensive research on both scientific and technical aspects, but yet little attention was paid to the fluctuation induced [1–5] enhanced conductivity in MgB_{2}. Superconductor transition broadening, induced by these fluctuations in the superconducting order parameter, is observed in various kinds of superconductors [6, 7]. Such broadening is normally due to superconducting fluctuation derived from a low dimensionality, short coherence length, and high . High , short coherence length, and low carrier densities impart an excess conductivity due to thermal fluctuation in the superconducting order parameter. There have been numerous studies on excess conductivity and order parameter fluctuations in (Y123) [8–17], Bi_{2}Sr_{2}CaCu_{2} (Bi2122), Bi_{2}Sr_{2}Ca_{2}Cu_{2}Cu_{3} (Bi2223) [18–22], Tl_{2}Ba_{2}CaCu_{2} (Tl2212) [23, 24], HgBa_{2}Ca_{2}Cu_{3} (Hg1223), and HgBa_{2}CaCu_{2} (Hg1212) [25] systems, but only few reports exist on the fluctuation studies [26–28] in MgB_{2}, and those are performed in the presence of magnetic field.
The superconducting transition in the absence of fluctuations is characterized by a mean non zero value of the order parameter below the transition temperature and zero above the transition temperature. There are fluctuations in the order parameter both above and below the transition temperature, that is, there is a probability of Cooper pair formation even above the transition temperature. These fluctuations contribute to the various physical properties like electrical conductivity, diamagnetism and specific heat both above and below [29]. The effect of thermodynamic fluctuations on most of these properties is in the small range around and the study of fluctuation conductivity may also provide information regarding the critical region close to . We now first provide a brief description of the model describing the fluctuation effects in a superconductor based on its resistivity behaviour. We shall than use this framework/model to understand the transport behaviour observed for the MgB_{2} tape samples near the critical region around their . We would present the results of the fluctuation induced conductivity in MgB_{2} tape via resistivity versus temperature measurement. The analyses of dimensionality of the conduction of the carriers and the estimation of the coherence length amplitude from fluctuation studies are also presented.
2. Experimental Details
For studying the fluctuation induced excess conductivity the in situ stainless steel sheathed tape sample synthesized at 800°C, for 1 hr, described elsewhere [30], with the stoichiometric (Mg : B = 1 : 2) starting composition was prepared [30]. Silver pads for making four contacts on the sample were made via dcsputtering method. After that the current and voltage contacts were made using copper wire and silver paste. The resistivity versus temperature data were recorded via the fourprobe method while warming the sample with an accuracy of ±1 mK and at a rate of 0.1 K/min around the transition, at the rate of 0.25 K/min in the 50–100 K range, and at 0.5 K/min in 100–300 K range. The temperature was recorded using a programmable temperature controller (Model34 from CryoCon). A programmable current source (Model224 from Keithley Inc.) was used to provide a constant current through the sample. Digital nanovoltmeter (Model181 from Keithley Inc.) having a high input impedance was employed to measure the potential difference developed when sample was slowly warmed/cooled between 15 K and room temperature.
3. Result and Discussion
3.1. Fluctuation Induced Excess Conductivity in the Absence of Magnetic Field
The initial studies on the fluctuation effects were performed by carrying out the measurement of excess conductivity above , commonly known as the paraconductivity. Using the microscopic approach in the mean field region (MFR), Aslamazov and Larkin [31, 32], considering acceleration of the short lived superconducting charge carrier pairs which form in thermal equilibrium above in an electrical field, provided the expressions for 3 and 2dimensional excess conductivity as follows: where, is amplitude of isotropic coherence length, “” is the twodimensional characteristic length of the sample, such that if , then 2dimentional excess conductivity dominates in the superconductor, and is the reduced temperature defined as
Here, is mean field temperature. In general, HTSCs are the highly anisotropic materials, and for such systems, Lawrence and Doniach [33] suggested a model with layered conduction in which conduction occurs mainly in twodimensional planes, and these planes are coupled through the wellknown Josephson coupling. Within each layer, the superconductivity can be very well described by the GL theory. Lawrence and Doniach provided an expression for excess conductivity as
Here with as the coherence length amplitude perpendicular to the planes, and is the distance between the planes. For , that is, when , this expression varies as , thus showing the 2D behavior predicted by Aslamazov and Larkin (2). On the other hand, closer to , that is, when , this expression varies as , thus presenting the 3D behavior (1). In other words, this formula interpolate between 2D formulation for (the interaction between layers is weak) and 3D (1) results for , and a crossover 2D/3D is predicted at .
3.2. ResistivityTemperature Behavior
Figure 1(a) presents the resistivity versus temperature curve for the in situ prepared stainless steel sheathed MgB_{2}tape sample S800. Figure 1(b) shows the enlarged view of the resistivity curve around the transition temperature and its derivative with the temperature. The single peak in the versus curve indicates that the sample is single phasic. The various parameters obtained from the curve in Figures 1(a) and 1(b) are the (300 K) = 7.92 × 10^{−6} Ωm, (42 K) = 2.68 × 10^{−6} Ωm, RRR = 2.95, ( criteria) = 0.50 K, (90% drop criterion) = 40.663 K, (10% drop criterion) = 41.189 K, and (from peak in ) = 40.901 K. Here, RRR means residual resistivity ratio, namely, (300)/(42) and (90% drop criterion), and (10% drop criterion) corresponds to the temperature at which (42 K) becomes 90% and 10%, respectively.
(a)
(b)
(c)
The normal state behavior of the resistivity versus temperature curve of MgB_{2} tape S800 was fitted to above 1.5 to 260 K (inset of Figure 1(a)) so as to obtain the (i.e., fluctuation induced enhanced conductivity), which was found from the experimentally observed resistivity and the as From the fitting of the observed normal state data, the constants , , and are found to be 2.6680 × 10^{−6}, 2.9982 × 10^{−12}, and 2.5373 with msd (mean square deviation) between the experimental and the fitted data of 4.9327 × 10^{−15} (Ωm)^{2} (see inset of Figure 1(a)). The msd for any variable (varying as a function of ) is obtained by the following formula: The fitting of the observed excess conductivity , obtained from the  data with different models described previously, requires the estimation of the mean field temperature, .
3.2.1. Mean Field Temperature
The choice of the mean field temperature is a wellknown problem in the analysis of the fluctuation study. Various criteria for determining the have been considered in the literature [9, 34–36] as (i) midpoint of the resistive transition (ii) from the 90% drop in normal state resistivity near and (iii) the temperature at which versus curve exhibits a peak to use as a fitting parameter in minimizing the least square deviation between the observed and the predicted model. Notably, sometimes, is estimated from the linear extrapolation of in the versus plot (or versus plot). In the present work on MgB_{2}, we have determined the from the versus curve and also from the data as suggested by Oh et al. [9], that is, from the versus plot (see Figure 1(c)). The linear extrapolation of the plot to has been considered to infer the corresponding temperature .
In Table 1, we presents the various parameters obtained by fitting the measured resistivity data to different AL and LD models using (1)–(6). Figures 2(a) and 2(b) show the fitting of the experimental obtained resistivity versus temperature data with various models outlined previously using two values of mean field temperature , respectively.

(a)
(b)
It is evident from Table 1 that the resistivity fit using AL model yields higher value of msd (namely, msd = 2.1 × 10^{−12} (Ωm)^{2} using = 40.889 and 40.901 K) for 2D formulation of excess conductivity compared to the AL3D model (namely, msd = 8.2 × 10^{−14} (Ωm)^{2} and 6.1 × 10^{−14} (Ωm)^{2} using = 40.880 and 40.901 K, resp.) for both the values of employed for fitting purpose. On the other hand, fit to LDlayered model yielded the msd value (namely, msd = 1.3 × 10^{−13} (Ωm)^{2} and 8.5 × 10^{−14} (Ωm)^{2} using = 40.880 and 40.901 K, resp.) higher than that achieved in the case of AL3D fit but lower than that for AL2D fit. values [37] corresponding to both the values have been found using specific heat jump = 64 mJ/(mol K) [38] and (from Table 1) and Coherence length anisotropy, [39]. It is found that = 1.94 × 10^{−2} and = 2.6 × 10^{−2} corresponding to = 40.889 K and 40.901 K, respectively. Further, the corresponding comes out to be (namely, for = 40.889 K, ), which clearly indicates the 3D fluctuation in the MgB_{2} tape sample. All these results show that the different observables around the MgB_{2} superconducting transition may be explained, in most of the experimentally accessible range, by considering Gaussian fluctuation in the meanfield GinzburgLandau like approaches. Thus, in the absence of magnetic field, the full critical region must then be expected only for temperatures close to mean field temperature (for K). Here, it is worth mentioning that the msd values presented in Table 1 for various fitting are evaluated for the data in the previous range.
Thus, it may be concluded that fluctuation induced enhanced conductivity in MgB_{2} tapes fit to the 3D relation for enhancement of the conductivity near the transition regime. The fluctuation study in the zero field yields the amplitude of coherence length which agrees very closely to the value (~26 Å) reported by Kim et al. [34]. These authors carried out the fluctuation study in the specific heat behavior in the bulk Mg^{11}B_{2} sample in absence of field, neglecting the inhomogeneity of the sample.
4. Conclusions
We have experimentally observed the fluctuation induced enhancement of conductivity in MgB_{2} in the absence of magnetic field. Study of fluctuation induced excess conductivity in the MgB_{2} sample via fitting of resistivity versus temperature data with Aslamazov and Larkin model and Lawrence and Doniach model indicates the threedimensional nature of conduction of the carriers as opposed to the 2D character exhibited by the HTSCs. The estimated amplitude of coherence length from the fitted model is ~21 Å.
Conflict of Interests
It should be noted that the authors (S. Rajput and S. Chaudhary) do not have any conflict of interests regarding the content of the paper.
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Copyright
Copyright © 2013 Suchitra Rajput and Sujeet Chaudhary. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.