2009
DOI: 10.1103/physrevb.79.241103
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Direct minimization technique for metals in density functional theory

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Cited by 61 publications
(53 citation statements)
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“…Freysoldt et al 42 have attempted to address this issue by developing an equivalent scheme where one works directly with the molecular orbital energies instead of the occupancies. In the spirit of the Marzari approach, they employ a non-diagonal representation of orbital energies, which is the Hamiltonian matrix, and minimize the following functional:…”
Section: B Ensemble Dft (Edft)mentioning
confidence: 99%
“…Freysoldt et al 42 have attempted to address this issue by developing an equivalent scheme where one works directly with the molecular orbital energies instead of the occupancies. In the spirit of the Marzari approach, they employ a non-diagonal representation of orbital energies, which is the Hamiltonian matrix, and minimize the following functional:…”
Section: B Ensemble Dft (Edft)mentioning
confidence: 99%
“…lot of attention, and several methods for minimization of the ground state energy are available. [7][8][9][10] These methods are typically based on constructing a search direction and subsequently minimizing the energy functional on the search direction. [6][7][8]10 One challenge present in direct minimization is the requirement that the Kohn-Sham orbitals remain orthogonal, and the minimizers are therefore constrained to a nonlinear surface.…”
Section: Introductionmentioning
confidence: 99%
“…[7][8][9][10] These methods are typically based on constructing a search direction and subsequently minimizing the energy functional on the search direction. [6][7][8]10 One challenge present in direct minimization is the requirement that the Kohn-Sham orbitals remain orthogonal, and the minimizers are therefore constrained to a nonlinear surface. [11][12][13] SCF problems are also encountered in several other computational science problems, and several strategies are available for solving these problems.…”
Section: Introductionmentioning
confidence: 99%
“…JDFTx supports interactions with custom external potentials and fields, and allows accurate calculations of systems of any dimensionality: molecules (0D), wires (1D), slabs / 2D materials and bulk (3D), using truncated Coulomb interactions [22]. Importantly, JDFTx implements two distinct classes of algorithms for electronic DFT, variational minimization of the (analytically-continued) total energy [39,40] and the self-consistent field (SCF) iteration method [41]. Variational minimization is stable and guaranteed to converge, while SCF (the default method available in all DFT codes) is less stable in general, but faster when it converges well.…”
Section: Software Architecturementioning
confidence: 99%