Sentence examples for most stable clusters from inspiring English sources

Geometry optimization of 141 initial clusters, reflecting plausible combinations of the backbone torsion angles, allowed exploration of the conformational features, as well as construction of the theoretical Raman spectra by considering the most stable clusters containing each glycine species.

Figure 2d shows variation of average Al Al distance of the most stable clusters as a function of cluster size.

This concept is widely used in k-means analysis, for example, to select the number of clusters being the one producing the most stable clusters.

For Al n Si m clusters, it is observed that Al2Si3 (60 % Si), and Al4Si2 (33.33 % Si) are the most stable clusters.

A comparison of Figures 4,5, and6 shows that Li8, among the pure clusters; Li4Sn, among the pure clusters; and Li4Sn, among the impure clusters, are the most stable clusters.

Instead of attentively selecting the initial CHs and constructing the most stable clusters, HCA attempts to assemble clusters as fast as possible, which leaves cluster optimization in the maintenance phase.

Our results reveal that Al7 is the most stable cluster among pure clusters.

The affinity propagation (AP) algorithm is one of the most stable clustering algorithms that have been recently proposed.

Energies are dramatically changed, with the most stable cluster in the original map being completely absent in the presence of the cation.

Overall, according to the binding energies per atom, second-order difference of cluster energies, and fragmentation energies it can be concluded that Al7 is the most stable cluster among all Al n clusters studied here.

They concluded that, among the cited clusters, Li4Sn is the most stable cluster, that the Sn atom in the Li n cluster is not trapped, and that charge transfer from Li to Sn is significant.