On melting criteria for complex plasma

Klumov, B. A.

doi:10.3367/ufne.0180.201010e.1095

Cited by 115 publications

(90 citation statements)

References 49 publications

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“…[43][44][45] The method allows us to explicitly recognize atomic clusters of any symmetry 61,67,68 and study their spatial distribution 69 . Below, we will briefly consider the key points of the method.…”

Section: B Methods Of Structure Analysismentioning

confidence: 99%

“…Besides, the lower the cooling rate the more pronounced the shoulder. At the lowest cooling rate γ min = 1.5 · 10 9 K/s, the shoulder transforms to separate peak with the maximum at q 6 > 0.6 that means pronounced icosahedral ordering 61,67,68 . To better illustrate the growth of icosahedral ordering under cooling, we show in Fig.…”

Section: Local Orientational Ordermentioning

confidence: 98%

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Cooling rate dependence of simulated Cu64.5Zr35.5 metallic glass structure

Ryltsev

Klumov

Chtchelkatchev

et al. 2016

The Journal of Chemical Physics

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Using molecular dynamics simulations with embedded atom model potential, we study structural evolution of Cu64.5Zr35.5 alloy during the cooling in a wide range of cooling rates γ ∈ (1.5 · 10 9 , 10 13 ) K/s. Investigating short-and medium-range order, we show that structure of Cu64.5Zr35.5 metallic glass essentially depends on cooling rate. In particular, a decrease of the cooling rate leads to a increase of abundances of both the icosahedral-like clusters and Frank-Kasper Z16 polyhedra. The amounts of these clusters in the glassy state drastically increase at the γmin = 1.5 · 10 9 K/s. Analysing the structure of the glass at γmin, we observe the formation of nano-sized crystalline grain of Cu2Zr intermetallic compound with the structure of Cu2Mg Laves phase. The structure of this compound is isomorphous with that for Cu5Zr intermetallic compound. Both crystal lattices consist of two type of clusters: Cu-centered 13-atom icosahedral-like cluster and Zr-centered 17-atom Frank-Kasper polyhedron Z16. That suggests the same structural motifs for the metallic glass and intermetallic compounds and explains the drastic increase of the abundances of these clusters observed at γmin.

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Section: B Methods Of Structure Analysismentioning

confidence: 99%

Section: Local Orientational Ordermentioning

confidence: 98%

Cooling rate dependence of simulated Cu64.5Zr35.5 metallic glass structure

Ryltsev

Klumov

Chtchelkatchev

et al. 2016

The Journal of Chemical Physics

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“…For instance, domains of different lattice geometries were found [16][17][18]. Complex plasma clusters containing up to a hundred particles allowed an analysis at the level of individual particles and were exploited to study, e.g., the interaction force between the particles [19].…”

Section: Introductionmentioning

confidence: 99%

Network analysis of three-dimensional complex plasma clusters in a rotating electric field

et al. 2014

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Network analysis was used to study the structure and time evolution of driven three-dimensional complex plasma clusters. The clusters were created by suspending micron-size particles in a glass box placed on top of the rf electrode in a capacitively coupled discharge. The particles were highly charged and manipulated by an external electric field that had a constant magnitude and uniformly rotated in the horizontal plane. Depending on the frequency of the applied electric field, the clusters rotated in the direction of the electric field or remained stationary. The positions of all particles were measured using stereoscopic digital in-line holography. The network analysis revealed the interplay between two competing symmetries in the cluster. The rotating cluster was shown to be more cylindrical than the nonrotating cluster. The emergence of vertical strings of particles was also confirmed.

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“…This model is of a special interest for the theoretical study of dusty plasma [5][6][7][8], and also is widely used for the numerical simulation of repulsion in the kinetics of interacting particles [1][2][3][4][5][6][7][8].…”

mentioning

confidence: 99%