2005
DOI: 10.1088/0965-0393/13/3/r01
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Finite element methods inab initioelectronic structure calculations

Abstract: We review the application of the finite element (FE) method to ab initio electronic structure calculations in solids. The FE method is a general approach for the solution of differential and integral equations which uses a strictly local, piecewise-polynomial basis. Because the basis is composed of polynomials, the method is completely general and its accuracy is systematically improvable. Because the basis is strictly local in real space, the method allows for variable resolution in real space; produces spars… Show more

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Cited by 223 publications
(160 citation statements)
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“…onetep belongs to the category of methods that aim for high accuracy by optimising self-consistently the energy not only with respect to K but also with respect to the NGWFs 15,16,17,18,19,20 . In onetep the NGWFs are expanded in a basis set of periodic cardinal sine (psinc) functions 13,21 , also known as Dirichlet or Fourier Lagrange-mesh functions 22,23 .…”
Section: Overview Of Theorymentioning
confidence: 99%
“…onetep belongs to the category of methods that aim for high accuracy by optimising self-consistently the energy not only with respect to K but also with respect to the NGWFs 15,16,17,18,19,20 . In onetep the NGWFs are expanded in a basis set of periodic cardinal sine (psinc) functions 13,21 , also known as Dirichlet or Fourier Lagrange-mesh functions 22,23 .…”
Section: Overview Of Theorymentioning
confidence: 99%
“…31 Our MW results provide quasi-exact reference values that can be employed to quantify the accuracy of standard basis sets, such as GTO, NAO, and APW methods, as well as of novel approaches based for instance on finite element methods [32][33][34][35] or discontinuous Galerkin methods.…”
mentioning
confidence: 98%
“…Initial ρ For the numerical solution, finite element basis functions are chosen [3,4] consisting of low order polynomials defined on a simple geometry like a cube or a simplex, which is then mapped together with the basis function into the physical domain. The locality of the basis functions provides algorithmic advantages, as it yields sparse matrices, which are accessible to fast iterative solver methods and parallelization is directly possible via domain decomposition, as shown in Fig.2.…”
Section: Kohn-sham Equations and Poisson Problemmentioning
confidence: 99%