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Lamellar thicknesses and cross-hatching frequencies in α-isotactic polypropylene have been measured for two series of fractions using linear nucleation to provide large arrays of oriented lamellae in row structures for sampling.
This suggests a more degraded structure for Sample 4, as also highlighted by the results reported above and obtained after hydrolysis of the samples.
Based on these observations, a structure for the colloidal liquid crystalline nanocomposite samples is proposed.
Schematic diagrams indicating the possible state of carriers distributing in the MQW structure for samples A (a) and B (b).
We also observed changes of soil macropore structure for samples up to a depth of 60 cm that could be described with the same three patterns of the log-log lacunarity functions found in the uppermost 15 cm of soil.
Using method 1, we randomly assigned empirical plot data from sampled patches to unsampled patches within the same stratum; with method 2 we bootstrapped the plot data to identify a probability distribution of LSF structure for a sampled patch and then randomly assigned these probabilities to unsampled patches within the same stratum.
Post-reaction data suggested that these differences in activity may be attributed to the formation of the LaCoO3 perovskite structure for samples containing higher lanthanum loading levels.
To form an amorphous sample, an initial structure for the sample was built by placing all atoms into a face-centered cubic (fcc) crystal lattice in a random order, and the initial velocities of all atoms were set to be zero [26].
Our framework reveals the full generality and flexibility of trajectory stratification, and it illuminates a common mathematical structure shared by existing algorithms for sampling rare events.
The results show a granular structure for all samples, while grain size in each group of the samples (consistent with XRD results) and surface roughness increase with annealing temperature.
In this paper, we introduce a graph structure for a distributed sampling and reconstruction system by coupling agents in a spatially distributed network with innovative positions of signals.
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