2018
DOI: 10.1063/1.5037794
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Discrete discontinuous basis projection method for large-scale electronic structure calculations

Abstract: We present an approach to accelerate real-space electronic structure methods several fold, without loss of accuracy, by reducing the dimension of the discrete eigenproblem that must be solved. To accomplish this, we construct an efficient, systematically improvable, discontinuous basis spanning the occupied subspace and project the real-space Hamiltonian onto the span. In calculations on a range of systems, we find that accurate energies and forces are obtained with 8-25 basis functions per atom, reducing the … Show more

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Cited by 77 publications
(13 citation statements)
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“…In recent years, there has been a significant increase in the efficiency of real-space methods due to a number of advances. Since early work in this area [20][21][22][23] , the degrees of freedom/atom required to obtain accurate ground state properties has been notably reduced by double-grid techniques 24 , ultrasoft pseudopotential formulations 25 , projector augmented wave methods 26 , high-order integration 27 , reformulation of nonlocal pseudopotential components 28,29 , and reduction of the eigenproblem by discontinuous projection 30 . Moreover, the need for effective preconditioners has been circumvented by substituting traditional iterative eigensolvers with the Chebyshev-polynomial filtered subspace iteration (CheFSI) 31 .…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, there has been a significant increase in the efficiency of real-space methods due to a number of advances. Since early work in this area [20][21][22][23] , the degrees of freedom/atom required to obtain accurate ground state properties has been notably reduced by double-grid techniques 24 , ultrasoft pseudopotential formulations 25 , projector augmented wave methods 26 , high-order integration 27 , reformulation of nonlocal pseudopotential components 28,29 , and reduction of the eigenproblem by discontinuous projection 30 . Moreover, the need for effective preconditioners has been circumvented by substituting traditional iterative eigensolvers with the Chebyshev-polynomial filtered subspace iteration (CheFSI) 31 .…”
Section: Introductionmentioning
confidence: 99%
“…We note that the spectral quadrature step accounts for greater than 98 percent of the total time in each SCF iteration. The prefactor of spectral quadrature can be significantly reduced by incorporating reduced basis methods such as Discrete Discontinious Basis Projection ( [65]). Further, the number of SCF iterations to achieve a fixed target SCF error increases with system size in metallic systems due to charge sloshing [26].…”
Section: Convergence and Performancementioning
confidence: 99%
“…The size of the real-space Hamiltonian would quickly make these approaches prohibitively expensive. One approach to address this would be to employ discrete discontinuous basis projection (DDBP) 102 to reduce Hamiltonian and orbital dimensions to a few tens per atom.…”
Section: Self-consistencymentioning
confidence: 99%