Atomistic simulation of static magnetic properties of bit patterned media

Arbeláez-Echeverri, O. D.; Agudelo-Giraldo, J.D.

doi:10.1016/j.physe.2015.12.016

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…The values for t c , along with the peak times of nodes and links, are presented in Table 2 . In the language of physics, this behavior is associates with the percolation threshold of the system 35 . Below the percolation threshold, the probability of finding a connected path between two separated spins in the system is very low; because of this reason, there cannot be any long-range magnetic ordering.…”

Section: Resultsmentioning

confidence: 99%

Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles

Hurtado-Marín

Agudelo-Giraldo

Robledo

2021

Sci Rep

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Two computational methods based on the Ising model were implemented for studying temporal dynamic in co-authorship networks: an interpretative for real networks and another for simulation via Monte Carlo. The objective of simulation networks is to evaluate if the Ising model describes in similar way the dynamic of the network and of the magnetic system, so that it can be found a generalized explanation to the behaviours observed in real networks. The scientific papers used for building the real networks were acquired from WoS core collection. The variables for each record took into account bibliographic references. The search equation for each network considered specific topics trying to obtain an advanced temporal evolution in terms of the addition of new nodes; that means 3 steps, a time to reach the interest of the scientific community, a gradual increase until reaching a peak and finally, a decreasing trend by losing of novelty. It is possible to conclude that both methods are consistent with each other, showing that the Ising model can predict behaviours such as the number and size of communities (or domains) according to the temporal distribution of new nodes.

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Section: Resultsmentioning

confidence: 99%

Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles

Hurtado-Marín

Agudelo-Giraldo

Robledo

2021

Sci Rep

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“…Because of the difficulty to solve by analytical approaches the partition function of systems represented by classical spin models, numerical simulations employing the Monte Carlo method are usually used to estimate the thermodynamic quantities of the systems. Magnetic properties of different systems, such as thin films [4], simple and core-shell nanoparticles [5,6], mixed spin systems [7], torus nanorings [8], nanotubes [9], bit-patterned media [10] and bulk materials [11,12] have been studied by Monte Carlo simulations. These atomistic simulations allow to take into account changes in the magnetization that occur at atomic scale and the finite size effects which are considerable in magnetic nanomaterials [13].…”

Section: Introductionmentioning

confidence: 99%

Vegas: Software package for the atomistic simulation of magnetic materials

2018

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We present an open-source software package, Vegas, for the atomistic simulation of magnetic materials. Using the classical Heisenberg model and the Monte Carlo Metropolis algorithm, Vegas provides the required tools to simulate and analyze magnetic phenomena of a great variety of systems. Vegas stores the history of the simulation, i.e. the magnetization and energy of the system at every time step, allowing to analyze static and dynamic magnetic phenomena from results obtained in a single simulation. Also, standardized input and output file formats are employed to facilitate the simulation process and the exchange and archiving of data. We include results from simulations performed using Vegas, showing its applicability to study different magnetic phenomena.

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Atomistic simulation of static magnetic properties of bit patterned media

Cited by 2 publications

References 24 publications

Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles

Analysis of dynamic networks based on the Ising model for the case of study of co-authorship of scientific articles

Vegas: Software package for the atomistic simulation of magnetic materials

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