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@ARTICLE{Mller:863282,
author = {Müller, Gideon and Hoffmann, Markus and Dißelkamp,
Constantin and Schürhoff, Daniel and Mavros, Stefanos and
Sallermann, Moritz and Kiselev, Nikolai S. and Jónsson,
Hannes and Blügel, Stefan},
title = {{S}pirit: {M}ultifunctional framework for atomistic spin
simulations},
journal = {Physical review / B},
volume = {99},
number = {22},
issn = {2469-9950},
address = {Woodbury, NY},
publisher = {Inst.},
reportid = {FZJ-2019-03372},
pages = {224414},
year = {2019},
abstract = {The Spirit framework is designed for atomic-scale spin
simulations of magnetic systems with arbitrary geometry and
magnetic structure, providing a graphical user interface
with powerful visualizations and an easy-to-use scripting
interface. An extended Heisenberg-type spin-lattice
Hamiltonian including competing exchange interactions
between neighbors at arbitrary distances, higher-order
exchange, Dzyaloshinskii-Moriya and dipole-dipole
interactions is used to describe the energetics of a system
of classical spins localized at atom positions. A variety of
common simulation methods are implemented including Monte
Carlo and various time evolution algorithms based on the
Landau-Lifshitz-Gilbert (LLG) equation of motion. These
methods can be used to determine static ground-state and
metastable spin configurations, sample equilibrium and
finite-temperature thermodynamical properties of magnetic
materials and nanostructures, or calculate dynamical
trajectories including spin torques induced by stochastic
temperature or electric current. Methods for finding the
mechanism and rate of thermally assisted transitions include
the geodesic nudged elastic band method, which can be
applied when both initial and final states are specified,
and the minimum mode-following method when only the initial
state is given. The lifetimes of magnetic states and rates
of transitions can be evaluated within the harmonic
approximation of transition-state theory. The framework
offers performant central processing unit (CPU) and graphics
processing unit (GPU) parallelizations. All methods are
verified and applications to several systems, such as
vortices, domain walls, skyrmions, and bobbers are
described.},
cin = {IAS-1 / PGI-1 / JARA-FIT / JARA-HPC},
ddc = {530},
cid = {I:(DE-Juel1)IAS-1-20090406 / I:(DE-Juel1)PGI-1-20110106 /
$I:(DE-82)080009_20140620$ / $I:(DE-82)080012_20140620$},
pnm = {142 - Controlling Spin-Based Phenomena (POF3-142) / 143 -
Controlling Configuration-Based Phenomena (POF3-143)},
pid = {G:(DE-HGF)POF3-142 / G:(DE-HGF)POF3-143},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000470829400010},
doi = {10.1103/PhysRevB.99.224414},
url = {https://juser.fz-juelich.de/record/863282},
}