2022
DOI: 10.1088/2516-1075/ac5755
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MARMOT: magnetism, anisotropy, and more, using the relativistic disordered local moment picture at finite temperature

Abstract: We present MARMOT, a hybrid Python/FORTRAN implementation of the disordered local moment picture within multiple scattering density-functional theory. MARMOT takes atom-centred, scalar-relativistic potentials and constructs an effective medium (within the coherent potential approximation) to describe the disordered magnetic moment orientations at finite temperature. By solving the single-site scattering problem fully relativistically, spin–orbit effects are included, allowing the magnetocrystalline anisotropy … Show more

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Cited by 7 publications
(17 citation statements)
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“…The methodology employed to calculate the MCA at finite temperature [9,34,38] has been comprehensively reviewed in a recent article [35], so only the key points will be presented here. The first step is to perform a self-consistent, scalar-relativistic DFT calculation of the fully-ordered (ferromagnetic) state.…”
Section: B Zero and Finite Temperature Kkr-asa Calculationsmentioning
confidence: 99%
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“…The methodology employed to calculate the MCA at finite temperature [9,34,38] has been comprehensively reviewed in a recent article [35], so only the key points will be presented here. The first step is to perform a self-consistent, scalar-relativistic DFT calculation of the fully-ordered (ferromagnetic) state.…”
Section: B Zero and Finite Temperature Kkr-asa Calculationsmentioning
confidence: 99%
“…The second step is to use these atom-centred potentials as inputs to DFT-DLM calculations. The MARMOT code [35] is used to perform these calculations as a postprocessing step. Here, the single-site scattering problem is solved fully relativistically [34] and magnetic disorder is treated at the level of the coherent potential approximation (CPA) [36].…”
Section: B Zero and Finite Temperature Kkr-asa Calculationsmentioning
confidence: 99%
See 3 more Smart Citations