2013
DOI: 10.1103/physrevb.87.035117
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Noncollinear density functional theory having proper invariance and local torque properties

Abstract: Noncollinear spins are among the most interesting features of magnetic materials, and their accurate description is a central goal of density functional theory applied to periodic solids. However, these calculations typically yield a magnetization vector that is everywhere parallel to the exchange-correlation magnetic field. No meaningful description of spin dynamics can emerge from a functional constrained to have vanishing local magnetic torque. In this contribution we present a generalization to periodic sy… Show more

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Cited by 67 publications
(63 citation statements)
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“…The noncollinear DFT (ncDFT) [72][73][74][75] coupled to nonequilibrium density matrix [47] offers an algorithm to compute spin torque in arbitrary device geometry at vanishing or finite bias voltage. The single-particle spin-dependent Kohn-Sham (KS) Hamiltonian in ncDFT takes the form…”
Section: How To Model Spin Torque Using Nonequilibrium Density Mamentioning
confidence: 99%
“…The noncollinear DFT (ncDFT) [72][73][74][75] coupled to nonequilibrium density matrix [47] offers an algorithm to compute spin torque in arbitrary device geometry at vanishing or finite bias voltage. The single-particle spin-dependent Kohn-Sham (KS) Hamiltonian in ncDFT takes the form…”
Section: How To Model Spin Torque Using Nonequilibrium Density Mamentioning
confidence: 99%
“…In this contribution, we choose to rely on the latter approach, with the spin‐orbit interaction based on a two‐component Hamiltonian . This Hamiltonian can be used within the framework of DFT provided the functional dependence is adapted to accommodate the fact that two‐component densities can in general be noncollinear; ie, the orientation of the spin magnetization vector may vary with the position in space . Transition densities and properties can be then calculated by performing a two‐component time‐dependent DFT (2c‐TDDFT) calculation starting from the single‐determinant 2c‐DFT reference or, as an alternative, through a real‐time propagation of the two‐component Hamiltonian .…”
Section: Theorymentioning
confidence: 99%
“…[30][31][32][33][34][35][36][37][38][39][40][41] This Hamiltonian can be used within the framework of DFT provided the functional dependence is adapted to accommodate the fact that two-component densities can in general be noncollinear; ie, the orientation of the spin magnetization vector may vary with the position in space. [42][43][44][45][46] Transition densities and properties can be then calculated by performing a twocomponent time-dependent DFT (2c-TDDFT) calculation starting from the single-determinant 2c-DFT reference 40,46 or, as an alternative, through a real-time propagation of the two-component Hamiltonian. 47 Here, we choose the first option, from which we can determine the singletto-triplet transition densities by solving the response equation through an iterative Davidson algorithm as previously described.…”
Section: Spin-orbit Couplingsmentioning
confidence: 99%
“…While some work has been done for the development of truly noncollinear density functionals, the most common approach is to find ways to adapt common density functionals developed for collinear densities to the general case. Over the past decades, numerous collinear density functionals have been developed and benchmarked against a variety of molecular properties, therefore the ability to use them for noncollinear cases with minimal modifications is highly desirable, and much work has been done in this respect, particularly in the context of relativistic two‐component methods . One feature that is expected from the exact functional is a nonvanishing local magnetic exchange‐correlation torque acting on the spin magnetization .…”
Section: Noncollinear Dftmentioning
confidence: 99%
“…This is a point that has been very clearly brought to the quantum chemical community in recent years by the Scuseria group (see Refs. [ ] and citations therein). Because symmetry breaking is the by‐product of a mean‐field description, it can be considered artifactual.…”
Section: Introductionmentioning
confidence: 99%