An empirical rule is found for both ordered and disordered structures that the thermal conductivity tends to decrease as the distance of the constituent X increases in the horizontal direction from the location of Ni and Pt in the periodic table. This trend is quite isomorphic with that of ...
The model can very well-predict the increasing trend of thermal conductivity as a function of volume fraction of the nanofluids; however, it is not applicable to every type of nanoparticle dispersed in the base fluids as it overpredicts the thermal conductivity. For water-based nanofluids, the ...
BO2, and A2O3/B2O3/M2O3(M being the dopant for the A- or B-site) type oxides with energy above hull of 0 in the Materials Project database were used for the predictions. The elements in the periodic table showing the complexity of the perovskite chemistry, that were ...
In addition to strong periodic signals, such as those related to the orbital rotation, ionospheric resonances and tides, a significant part of EM time variations are due to aperiodic transient events, to a large extent driven and/or modulated by dynamics of the upstream solar wind. For more de...
3b. Both approximations of grain boundary scattering effects show the same trend and are very close to the experimental results, corroborating the validity of our approaches. Fig. 3 Comparison with experiments for selected materials systems. a Calculated lattice thermal conductivity for single-crystal ...
circles in Fig.4b, the thermal conductivity increases, which correlates with a decrease in pore size. A similar trend can also be observed for the void fraction and gravimetric surface area (Fig.4c, d). For instance,kincreases in moving to the left along yellow or green circles at a void...
As can be seen thermal conductivity did not show any predictive trend with total number of carbons (Fig. 10a). The thermal conductivity measured in the solid-state at room temperature for the PCMs, alkanes, and sugar alcohols fit in an apparent sigmoidal curve as a function of the number ...
The model can very well-predict the increasing trend of thermal conductivity as a function of volume fraction of the nanofluids; however, it is not applicable to every type of nanoparticle dispersed in the base fluids as it overpredicts the thermal conductivity. For water-based nanofluids, the ...
(4) is derived forr = 50 μm. The losses are seen to vary from about 8 to 85%, while the general trend is clearly nonlinear. The latter may result from the porosity and specific orientation of the samples, in particular the holes, with respect to the gravity vector, which ...
While the electrical properties appear to trend similarly during annealing cycles, the continued disparity in the properties indicates the possible presence of structural defects that are not affected by the annealing process. To examine the local, atomic-scale structure of the films, STEM-HAADF images...