2012
DOI: 10.1088/1674-1056/21/8/083601
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A density functional theory study on size-dependent structures, stabilities, and electronic properties of bimetallicMnAgm(M=Na, Li;n+m≤ 7) clusters

Abstract: The equilibrium geometries, relative stabilities, and electronic properties of MnAgm(M=Na, Li; n + m ≤ 7) as well as pure Agn, Nan, Lin (n ≤ 7) clusters are systematically investigated by means of the density functional theory. The optimized geometries reveal that for 2 ≤ n ≤ 7, there are significant similarities in geometry among pure Agn, Nan, and Lin clusters, and the transitions from planar to three-dimensional configurations occur at n = 7, 7, and 6, respectively. In contrast, the first three-dimensional … Show more

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Cited by 6 publications
(6 citation statements)
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“…The total energy of the second-order difference clusters can indicate the stability of clusters. [50][51][52][53][54][55] The larger the value, the more stable it is. As shown in Fig.…”
Section: Size-dependent Relative Stabilitymentioning
confidence: 99%
“…The total energy of the second-order difference clusters can indicate the stability of clusters. [50][51][52][53][54][55] The larger the value, the more stable it is. As shown in Fig.…”
Section: Size-dependent Relative Stabilitymentioning
confidence: 99%
“…Knowledge Distillation is another well-known compression strategy for deep networks, which has proven to be a successful paradigm for deep network compression [18,19,20]. Another approach used towards to compressing the structure is low-rank approximation using kernel decomposition [21]. Besides the above, efficient neural structure design [22,23,24] has a great potential for building efficient deep networks.…”
Section: Deep Network Compressionmentioning
confidence: 99%
“…013601-4 The second-order energy difference ∆ 2 E(n) is a sensitive quantity that reflects the stability of clusters and it can be directly compared with the relative abundances determined in mass spectroscopy experiments. [31] The size dependence of ∆ 2 E(n) for the lowest-energy pure Si n+1 and SrSi n clusters are shown in Fig. 4.…”
Section: Relative Stabilitiesmentioning
confidence: 99%
“…Moreover, the E b (n) values of the SrSi n clusters are always smaller than that of pure Si n+1 clusters, which suggests that the Sr atom cannot enhance the stability of silicon clusters with small size. Both curves exhibit small peaks for Si n+1 (n = 9 and 12) and SrSi n (n = 9 and 12) clusters, indicating an enhanced stability over the adjacent neighboring clusters.The second-order energy difference ∆ 2 E(n) is a sensitive quantity that reflects the stability of clusters and it can be directly compared with the relative abundances determined in mass spectroscopy experiments [31]. The size dependence of…”
mentioning
confidence: 99%