Abstract:Articles you may be interested inOn the accuracy of density-functional theory exchange-correlation functionals for H bonds in small water clusters: Benchmarks approaching the complete basis set limitThe Coulomb force in density-functional theory calculations is efficiently evaluated based on a partitioning into near-field ͑NF͒ and far-field ͑FF͒ interactions. For the NF contributions, a J force engine method is developed based on our previous J matrix engine methods, and offers a significant speedup over deriv… Show more
“…With the success of linear scaling methods (4,6,31,32) and local correlation models (33)(34)(35) for reducing the scaling with molecular size, it is desirable to combine them with the reduced prefactors offered by the auxiliary basis approach to produce still more efficient algorithms (22,23). The locality of the coefficients determines the extent to which low-scaling methods involving auxiliary basis expansions are possible without further approximations, such as fitting domains (22,23).…”
Section: Sparsity In Matrix Elements and Fit Coefficientsmentioning
One way to reduce the computational cost of electronic structure calculations is to use auxiliary basis expansions to approximate four-center integrals in terms of two-and three-center integrals, usually by using the variationally optimum Coulomb metric to determine the expansion coefficients. However, the long-range decay behavior of the auxiliary basis expansion coefficients has not been characterized. We find that this decay can be surprisingly slow. Numerical experiments on linear alkanes and a toy model both show that the decay can be as slow as 1͞r in the distance between the auxiliary function and the fitted charge distribution. The Coulomb metric fitting equations also involve divergent matrix elements for extended systems treated with periodic boundary conditions. An attenuated Coulomb metric that is short-range can eliminate these oddities without substantially degrading calculated relative energies. The sparsity of the fit coefficients is assessed on simple hydrocarbon molecules and shows quite early onset of linear growth in the number of significant coefficients with system size using the attenuated Coulomb metric. Hence it is possible to design linear scaling auxiliary basis methods without additional approximations to treat large systems.linear scaling ͉ resolution of the identity ͉ density fitting E lectronic structure calculations are normally performed by using basis set expansions to allow approximations to the Schrödinger equation to be expressed as algebraic rather than differential equations. Molecular electronic structure calculations (1) of either the density functional theory or wave-function type typically use standardized atom-centered basis sets, {͉ ͘}, whose functions are fixed linear combinations of Gaussian functions. With Gaussian basis functions, two-electron matrix elements,can be efficiently evaluated (2), normally with g(r 1 , r 2 ) ϭ ͉r 1 Ϫ r 2 ͉ Ϫ1 for Coulomb interactions. There are formally O(N 4 ) of these integrals for an atomic orbital basis set of size N. However, for a given choice of basis set, the number of nonnegligible integrals grows as only O(N 2 ) with increases in the size of the molecule. This growth arises from the rapid (Gaussian) decay of the amplitude of the product charge distribution ͉ ͘ ϵ (r 1 ) (r 1 ) with separation of the basis function centers. In density functional theory calculations, even this reduced bottleneck can be overcome for construction of the Coulomb matrix, J ϭ ͚ ͗ ͉ ͘P , from the density matrix by use of linearscaling fast multipole (3-5) and tree code methods (6).However, for a molecule of fixed size, increasing the number of basis functions per atom, n, does inexorably lead to O(n 4 ) growth in the number of significant integrals. This growth follows directly from the fact that the number of nonnegligible product charge distributions, ͉ ͘, grows as O(n 2 ). As a result, the use of large (high-quality) basis expansions is computationally costly. This article revisits perhaps the most practical way around this ''basis set quality'' bo...
“…With the success of linear scaling methods (4,6,31,32) and local correlation models (33)(34)(35) for reducing the scaling with molecular size, it is desirable to combine them with the reduced prefactors offered by the auxiliary basis approach to produce still more efficient algorithms (22,23). The locality of the coefficients determines the extent to which low-scaling methods involving auxiliary basis expansions are possible without further approximations, such as fitting domains (22,23).…”
Section: Sparsity In Matrix Elements and Fit Coefficientsmentioning
One way to reduce the computational cost of electronic structure calculations is to use auxiliary basis expansions to approximate four-center integrals in terms of two-and three-center integrals, usually by using the variationally optimum Coulomb metric to determine the expansion coefficients. However, the long-range decay behavior of the auxiliary basis expansion coefficients has not been characterized. We find that this decay can be surprisingly slow. Numerical experiments on linear alkanes and a toy model both show that the decay can be as slow as 1͞r in the distance between the auxiliary function and the fitted charge distribution. The Coulomb metric fitting equations also involve divergent matrix elements for extended systems treated with periodic boundary conditions. An attenuated Coulomb metric that is short-range can eliminate these oddities without substantially degrading calculated relative energies. The sparsity of the fit coefficients is assessed on simple hydrocarbon molecules and shows quite early onset of linear growth in the number of significant coefficients with system size using the attenuated Coulomb metric. Hence it is possible to design linear scaling auxiliary basis methods without additional approximations to treat large systems.linear scaling ͉ resolution of the identity ͉ density fitting E lectronic structure calculations are normally performed by using basis set expansions to allow approximations to the Schrödinger equation to be expressed as algebraic rather than differential equations. Molecular electronic structure calculations (1) of either the density functional theory or wave-function type typically use standardized atom-centered basis sets, {͉ ͘}, whose functions are fixed linear combinations of Gaussian functions. With Gaussian basis functions, two-electron matrix elements,can be efficiently evaluated (2), normally with g(r 1 , r 2 ) ϭ ͉r 1 Ϫ r 2 ͉ Ϫ1 for Coulomb interactions. There are formally O(N 4 ) of these integrals for an atomic orbital basis set of size N. However, for a given choice of basis set, the number of nonnegligible integrals grows as only O(N 2 ) with increases in the size of the molecule. This growth arises from the rapid (Gaussian) decay of the amplitude of the product charge distribution ͉ ͘ ϵ (r 1 ) (r 1 ) with separation of the basis function centers. In density functional theory calculations, even this reduced bottleneck can be overcome for construction of the Coulomb matrix, J ϭ ͚ ͗ ͉ ͘P , from the density matrix by use of linearscaling fast multipole (3-5) and tree code methods (6).However, for a molecule of fixed size, increasing the number of basis functions per atom, n, does inexorably lead to O(n 4 ) growth in the number of significant integrals. This growth follows directly from the fact that the number of nonnegligible product charge distributions, ͉ ͘, grows as O(n 2 ). As a result, the use of large (high-quality) basis expansions is computationally costly. This article revisits perhaps the most practical way around this ''basis set quality'' bo...
“…Its variational parameters are 10's of linear combination of atomic orbitals (LCAO) coefficients rather than 100's of plane-wave coefficients or numerical values at 1000's of points per atom per molecular orbital. A second step forward is to compute the contribution of the local density-of-states to forces not by recursion [5], and xyz-factorization [6] but via the generalized Gaunt coefficients [7]. Due to the present limitations [8] on the functional forms that can be treated in ADFT, however, we need to parameterize it in order to get the correct geometry of the giant fullerenes.…”
mentioning
confidence: 99%
“…Efficient computation requires switching from the traditional Cartesian-Gaussian basis [5] to the solid-harmonic-Gaussian basis, which minimally contains all essential chemistry; the latter are eigenstates of angular momentum as are the atomic orbitals that collectively they approximate. The matrix elements corresponding to higher angular momentum are computed by differentiating the s-type matrix elements with respect to the corresponding atomic center [9].…”
Geometry optimization is efficient using generalized Gaunt coefficients, which significantly limit the amount of cross differentiation for multi-center integrals of highangular-momentum solid-harmonic basis sets. The geometries of the most stable C 240 , C 540 , C 960 , C 1500 , and C 2160 icosahedral fullerenes are optimized using analytic densityfunctional theory (ADFT), which is parameterized to give the experimental geometry of C 60 . The calculations are all electron, the orbital basis set includes d functions and the exchange-correlation-potential basis set includes f functions. The largest calculation on C 2160 employed about 39000 basis functions.
“…͑The van der Waals interactions are not included in the total QM/MM Fock or KS matrix, but into the total energy.͒ On the other hand, we have also seen significant development based on a fully QM description for large-scale calculations. [6][7][8][9][10][11][12][13][14][15][16][17][18] One of the authors ͑W.Y.͒ has developed the linear-scaling treatment, the divide-and-conquer ͑DC͒ method. [26][27][28] In this method, the entire system is first divided into several subsystems and their electron densities are calculated separately.…”
Section: Introductionmentioning
confidence: 99%
“…In this subject, many methods have been proposed so far. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] The most well-known and commonly used approach is the quantum-mechanical/molecularmechanical ͑QM/MM͒ method. [19][20][21][22] In this method, the electronically important part is described by quantum mechanics ͑QM͒, while the rest of the system is described by molecular mechanics ͑MM͒.…”
A density-fragment interaction ͑DFI͒ approach for large-scale calculations is proposed. The DFI scheme describes electron density interaction between many quantum-mechanical ͑QM͒ fragments, which overcomes errors in electrostatic interactions with the fixed point-charge description in the conventional quantum-mechanical/molecular-mechanical ͑QM/MM͒ method. A self-consistent method, which is a mean-field treatment of the QM fragment interactions, was adopted to include equally the electron density interactions between the QM fragments. As a result, this method enables the evaluation of the polarization effects of the solvent and the protein surroundings. This method was combined with not only density functional theory ͑DFT͒ but also time-dependent DFT. In order to evaluate the solvent polarization effects in the DFI-QM/MM method, we have applied it to the excited states of the magnesium-sensitive dye, KMG-20. The DFI-QM/MM method succeeds in including solvent polarization effects and predicting accurately the spectral shift caused by Mg 2+ binding.
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