SPILADY: A Parallel CPU and GPU Code for Spin-Lattice Magnetic Molecular Dynamics Simulations

Published: 16 Sep 2016 | Version 1 | DOI: 10.17632/x3nyy26fp3.1
  • Pui-Wai Ma,
    Pui-Wai Ma
    Culham Centre for Fusion Energy
  • S. L. Dudarev,
    S. L. Dudarev
    Culham Centre for Fusion Energy
  • C. H. Woo
    C. H. Woo
    The City University of Hong Kong

Description of this data

Spin–lattice dynamics generalizes molecular dynamics to magnetic materials, where dynamic variables describing an evolving atomic system include not only coordinates and velocities of atoms but also directions and magnitudes of atomic magnetic moments (spins). Spin–lattice dynamics simulates the collective time evolution of spins and atoms, taking into account the effect of non-collinear magnetism on interatomic forces. Applications of the method include atomistic models for defects, dislocations and surfaces in magnetic materials, thermally activated diffusion of defects, magnetic phase transitions, and various magnetic and lattice relaxation phenomena. Spin–lattice dynamics retains all the capabilities of molecular dynamics, adding to them the treatment of non-collinear magnetic degrees of freedom. The spin–lattice dynamics time integration algorithm uses symplectic Suzuki–Trotter decomposition of atomic coordinate, velocity and spin evolution operators, and delivers highly accurate numerical solutions of dynamic evolution equations over extended intervals of time. The code is parallelized in coordinate and spin spaces, and is written in OpenMP C/C++ for CPU and in CUDA C/C++ for Nvidia GPU implementations. Temperatures of atoms and spins are controlled by Langevin thermostats. Conduction electrons are treated by coupling the discrete spin–lattice dynamics equations for atoms and spins to the heat transfer equation for the electrons. Worked examples include simulations of thermalization of ferromagnetic bcc iron, the dynamics of laser pulse demagnetization, and collision cascades.

Experiment data files

peer reviewed

This data is associated with the following peer reviewed publication:

SPILADY: A parallel CPU and GPU code for spin–lattice magnetic molecular dynamics simulations

Published in: Computer Physics Communications

Latest version

  • Version 1


    Published: 2016-09-16

    DOI: 10.17632/x3nyy26fp3.1

    Cite this dataset

    Ma, Pui-Wai; Dudarev, S. L.; Woo, C. H. (2016), “SPILADY: A Parallel CPU and GPU Code for Spin-Lattice Magnetic Molecular Dynamics Simulations”, Mendeley Data, v1 http://dx.doi.org/10.17632/x3nyy26fp3.1


Natural Sciences


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