2018
DOI: 10.1088/1367-2630/aae282
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BT phase diagram of Pd/Fe/Ir(111) computed with parallel tempering Monte Carlo

Abstract: We use an atomistic spin model derived from density functional theory calculations for the ultra-thin film Pd/Fe/Ir(111) to show that temperature induces coexisting non-zero skyrmion and antiskyrmion densities. We apply the parallel tempering Monte Carlo method in order to reliably compute thermodynamical quantities and the B-T phase diagram in the presence of frustrated exchange interactions. We evaluate the critical temperatures using the topological susceptibility. We show that the critical temperatures dep… Show more

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Cited by 66 publications
(58 citation statements)
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“…A recent theoretical study has revealed through atomistic simulations that thermal energy alone can lead to dynamical changes in the net skyrmion charge Q in Pd/Fe/Ir(111) ultrathin films . Here, we experimentally find a similar thermally driven increase in Q after injecting current pulses into Pt/CoFeB/MgO multilayers with ultralow‐pinning.…”
supporting
confidence: 62%
“…A recent theoretical study has revealed through atomistic simulations that thermal energy alone can lead to dynamical changes in the net skyrmion charge Q in Pd/Fe/Ir(111) ultrathin films . Here, we experimentally find a similar thermally driven increase in Q after injecting current pulses into Pt/CoFeB/MgO multilayers with ultralow‐pinning.…”
supporting
confidence: 62%
“…We focus on the collapse of isolated skyrmions in the ferromagnetic background in Pd/Fe atomic bilayers on the (111) surfaces of Ir and Rh. The first system has been extensively studied experimentally [7,8,23,26,27] as well as theoretically [10,11,[28][29][30][31], while in the latter skyrmions have been recently predicted [32]. We find a pronounced response of the attempt frequency to the applied magnetic field close to the asymptotic divergence of the skyrmion size.…”
mentioning
confidence: 67%
“…Note that in Monte Carlo methods, the parallel tempering algorithm has proven to be an effective tool. [41][42][43] The usage of Python and a MPI package would enable one to quite easily reproduce this algorithm in a Python script using Spirit.…”
Section: B Monte Carlomentioning
confidence: 99%