ΔEV is considerably smaller than ΔEC for all samples, leading to good electron confinement but poor hole confinement.
Several heat treatments have been made in all samples, leading to a change in their morphology and thermoelectric properties.
However, the control samples showed more unclassified sequences as compared to the treated samples leading to lower abundance at the family and genus level.
Such features determine the properties of samples leading to differences not only in emission energies but also in PL emission intensity, photosensitivity, carrier leakage through defects, and other.
In the method, random samples leading to progressive failure are generated efficiently and they are used for computing probabilistic performance measures by statistical averaging.
These results were probably caused by a higher amount of fine roots in grass samples leading to high densities of Collembola, which are preferred prey of predatory mites.
Annealings at elevated temperatures were performed in implanted samples leading to a loss of Cr from the implanted region as seen by Rutherford Backscattering Spectrometry (RBS).
Air and argon flows are used on flat and hemispherical 3D Cf/C samples leading to surface temperatures ranging from 1800° C to 2500° C.
The various existence forms of sulfur result in distinct utilization of Co in the samples, leading to quite different electrochemical properties.
Note that to reduce the complexity in a practical algorithm, the weights are taken from a given data set in interval with samples, leading to a possible exhaustive search over possibilities.
Under the same MOCVD growth condition (temperature and precursor flow rates), the pyrolysis efficiency of precursors should be the same for growing all the samples leading to the same impingement rate.
