Energy dispersive x-ray diffraction and reverse Monte Carlo structural study of liquid gallium under pressure

Yagafarov, O. F.; Katayama, Yoshinori; Brazhkin, V. V.; Lyapin, A. G.; Saitoh, Hiroyuki

doi:10.1103/physrevb.86.174103

Cited by 34 publications

(34 citation statements)

References 53 publications

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“…This phenomenon is consistent with previous study in which 17 r iP /r i0 (i = 1-4) was scaled by density for the first four coordination spheres. 21 The 18 non-cubic scaling of r 1 was also reported in liquid metal Bi. 9 The above.…”

mentioning

confidence: 94%

Multiple scaling power in liquid gallium under pressure conditions

Wang

et al. 2017

Phys. Rev. B

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mentioning

confidence: 94%

Multiple scaling power in liquid gallium under pressure conditions

Wang

et al. 2017

Phys. Rev. B

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“…It is remarkable that most of the studies concern the analysis of data from powder samples. As examples of works, we cite the uncovering of correlations in the flux-line lattice of a type II superconductor [2], the characterization of the spin ice state in Ho 2 Ge 2 O 7 [3], the determination of the structure of liquids [4,5], and the investigations of structural and magnetic short-range-correlations for a large variety of magnetic compounds; see example of recent works in Refs. [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Reverse Monte Carlo Algorithm and Maximum Entropy Principle for the Analysis of Positive Muon Spin Rotation and Relaxation Spectra

Maisuradze

Yaouanc

Réotier

2018

Proceedings of the 14th International Conference on Muon Spin Rotation, Relaxation and Resonance (ΜSR2017)

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We discuss the reverse Monte Carlo algorithm supplemented by the maximum entropy principle as a tool to guide the analysis of spectra recorded with the positive muon spin rotation and relaxation technique. This tool enables to derive the static field distribution at the muon site, even when the Fourier transform technique is of no help. Statistical uncertainties are estimated for the distribution and no smoothening technique such as apodization is required.

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“…27 The QCM has been recently shown to successfully reproduce the RDF of simple elemental liquids such as Ar and Cu 28 as well anomalous elemental liquids of columns IV and V 29,30 respectively and is commonly applied to identify the "structural" order in liquids, e.g., Ref. 31.…”

Section: Introductionmentioning

confidence: 99%

Evolution of short range order in Ar: Liquid to glass and solid transitions–A computational study

Shor

Yahel²,

Makov

2018

AIP Advances

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Evolution of short range order in Ar:Liquid to glass and solid transitions-A computational study The evolution of the short range order (SRO) as a function of temperature in a Lennard-Jones model liquid with Ar parameters was determined and juxtaposed with thermodynamic and kinetic properties obtained as the liquid was cooled (heated) and transformed between crystalline solid or glassy states and an undercooled liquid. The Lennard-Jones system was studied by non-equilibrium molecular dynamics simulations of large supercells (approximately 20000 atoms) rapidly cooled or heated at selected quenching rates and at constant pressure. The liquid to solid transition was identified by discontinuities in the atomic volume and molar enthalpy; the glass transition temperature range was identified from the temperature dependence of the self-diffusion. The SRO was studied within the quasi-crystalline model (QCM) framework and compared with the Steinhardt bond order parameters. Within the QCM it was found that the SRO evolves from a bcc-like order in the liquid through a bct-like short range order (c/a=1.2) in the supercooled liquid which persists into the glass and finally to a fcc-like ordering in the crystalline solid.

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Energy dispersive x-ray diffraction and reverse Monte Carlo structural study of liquid gallium under pressure

Cited by 34 publications

References 53 publications

Multiple scaling power in liquid gallium under pressure conditions

Multiple scaling power in liquid gallium under pressure conditions

Reverse Monte Carlo Algorithm and Maximum Entropy Principle for the Analysis of Positive Muon Spin Rotation and Relaxation Spectra

Evolution of short range order in Ar: Liquid to glass and solid transitions–A computational study

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