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Oslo node Highly accurate calculations benchmarking and extrapolations Torgeir Ruden, with A. Halkier, P. Jørgensen, J. Olsen, W. Klopper, J. Gauss, P. Taylor Explicitly correlated methods Pål Dahle, collaboration with P. Taylor Molecular dynamics Vebjørn Bakken, with B. Schlegel Finite-difference methods for molecular properties Torgeir Ruden, collaboration with P. Taylor Relativistic corrections (perturbation theory) Alf Hennum, collaboration with W. Klopper Density-functional theory (DFT) Ola Lutnæs and Alf Hennum; N. C. Handy; Pawel Salek and H. Ågren Linear scaling methods Helena Larsen and Mark Watson, with P. Jørgensen and J. Olsen; N. C. Handy

Density functional theory The energy is expressed as a functional of the electron density r: The interaction with the external potential simple: By contrast, the kinetic energy T[ρ] and electron-electron repulsion energy V en [ρ] are difficult to calculate. However, an important, simple contribution to V en [ρ] is the electronelectron Coulomb repulsion energy:

Noninteracting electrons For a system of noninteracting electrons, we may write the density as In this case, the total energy may be written as where the kinetic energy is evaluated exactly as and the orbitals satisfy the eigenvalue equations

Kohn-Sham theory

Kohn-Sham and Hartree-Fock theories The Kohn-Sham energy has now been expressed in a form similar to the Hartree-Fock energy The optimization may therefore be carried out in the same manner, replacing the Fock potential by the exchange-correlation potential In practice, the evaluation of E xc [ρ] involves adjustable parameters; we may thus regard Kohn-Sham theory as semi-empirical Hartree- Fock theory.

LDA theory The true form of the exchange-correlation functional is unknown and is presumably a complicated, nonlocal function of the electron density. However, reasonable results are obtained by assuming that the functional depends only locally on the density. In the local-density approximation (LDA), we use Dirac s (nonempirical) expression for the exchange energy For the correlation energy, the Vosko-Wilk-Nusair (VWN) functional (1980) is used; it is based on electron-gas simulations and contains three parameters.

GGA theory For quantitative results, it is necessary to include corrections from the gradient of the density such as With such corrections included, we arrive at the GGA (generalized gradient-approximation) level of theory. The popular BLYP method uses Becke s gradient correction to the exchange (1988), with one parameter adjusted to reproduce the exchange energy of the six noble-gas atoms the correlation correction due to Lee, Yang and Parr (1988), with four parameters adjusted to reproduce the correlation energy of helium

Hybrid DFT theories A highly successful Kohn-Sham approach has been to include some proportion of the exact Hartree-Fock exchange in the calculations. In particular, the B3LYP functional contains the following contributions where the parameters have been fixed in a highly semi-empirical manner. With little theoretical justification for the hybrid schemes, there is a feeling that they may represent a theoretical dead-end. Nonetheless, we shall see that it performs very well not only for energetics, but also for NMR spin-spin coupling constants.

Implementation of DFT In an existing ab initio code such as Dalton, Kohn-Sham theory may be implemented as an extension to Hartree-Fock theory. Wherever it appears, the Hartree-Fock exchange contribution is replaced by a contribution from the exchange-correlation functional total energy Kohn-Sham matrix linear Hessian transformations In hybrid theories, Hartree-Fock exchange is scaled rather than removed The evaluation of the exchange-correlation contributions involves an integration over all space numerical scheme more convenient than an analytical one the space is divided into regions surrounding each nucleus within each such region, a one-dimensional radial and two-dimensional angular quadrature is carried out

Implementation in Dalton The implementation in Dalton is based on that in Cadpac it uses the same code for generating quadrature points and weights it uses mostly the same routines for the functionals Features of the implementation restricted Kohn-Sham theory only no point group symmetry (easily fixed) no screening of quadrature points (easily fixed) parallelization over quadrature points generally contracted spherical-harmonic Gaussians The functional evaluation scales as KN 2, where K is the number of atoms and N the number of AOs.

Functionals: LDA, BLYP, B3LYP Features of Dalton DFT other functionals may be easily added Properties: total electronic energies molecular forces (and thus first-order geometry optimizations) multipole moments and all other expectation values RPA singlet and triplet excitation energies NMR shieldings (with and without London orbitals) NMR indirect spin-spin coupling constants many properties such as polarizabilities not yet tested but should work magnetizabilities and molecular Hessians require some simple coding Planned for Dalton 2.0 release

NMR nuclear spin-spin couplings In NMR, we observe direct and indirect couplings between the magnetic moments of paramagnetic nuclei Within the Born-Oppenheimer approximation, these couplings may be calculated as second-order time-independent properties Because of the smallness of the moments (10-5 ) and their coupling to the electrons (10-3 ), these constants are extremely small: ~10-16 E h

Nuclear magnetic perturbations Perturbed nonrelativistic electronic Hamiltonian: The nuclear magnetic vector potential gives rise to a first-order imaginary singlet perturbation and a secondorder real singlet perturbation The nuclear magnetic induction gives rise to a first-order real triplet perturbation.

Ramsey s expression The reduced spin-spin coupling constants are given by the paramagnetic spin-orbit (PSO) operator: the Fermi contact (FC) and spin-dipole (SD) operators:

NMR indirect nuclear spin-spin couplings The calculation of NMR spin-spin coupling constants is a very demanding task: requires a highly flexible wave function in order to describe the triplet perturbations induced by the nuclear magnetic moments large basis sets with a flexible inner core needed for each paramagnetic nucleus, we must solve at least nine response equations: 3 imaginary singlet perturbations 6 real triplet perturbations Standard ab initio approaches: RHF gives notoriously poor results CCSD is qualitatively but not quantitatively correct CCSD(T) not useful MCSCF and SOPPA are probably the most successful methods so far

DFT spin-spin methods compared Different DFT in HIII basis compared with RHF and full-valence CAS LDA represents a significant improvement on RHF Whereas RHF overestimates couplings, LDA underestimates them BLYP increases couplings and improves agreement somewhat Significant improvement at the B3LYP level

Contributions to spin-spin couplings In Ramsey s treatment, there are four contributions to the couplings. Usually, the most important is FC and the least important DSO. A priori, none of the couplings can be neglected.

Couplings compared (Hz)

Karplus relation The nuclear spin-spin couplings are extremely sensitive to geometries. Important special case: the Karplus relation between vicinal coupling constants and the dihedral angle φ between two CH bonds Below, we compare the B3LYP/HIII curve with an empirical curve

Vibrational corrections Ab initio results are now so accurate that, to improve our agreement with experiment further, we must take into account the effects of molecular vibrations A description of molecular vibrations requires a knowledge of the molecular potential-energy or property surface The description of such surfaces is usually based on a Taylor expansion around some reference geometry (typically the equilibrium geometry) where

Calculation of derivatives The derivatives may be calculated analytically, numerically, or by a mixed analytical-numerical scheme The availability of analytical methods varies considerably between the different ab initio methods and between the different properties an analytical implementation of quartic force constants has been reported at the Hartree-Fock level (Jayattilaka et al.) for other methods such as linear R12 methods, even first derivatives cannot be calculated analytically It is therefore important to develop a general scheme for calculating numerical derivatives to order n of an analytical derivative of order p The scheme should be robust and efficient that is, require as few points as possible, taking into account point-group and translationalrotational symmetries

Numerical differentation Based on the usual three-point formula for numerical differentiation with displacements ±h, we obtain the following expression where the total derivative order n is given by and the summation limits by The expansion coefficients are generated by simple two-term recurrence relations.

Numerical differentiation in Dalton Use of numerical differentiation Geometry optimisations where no analytical gradients are available Calculation of harmonic and enharmonic vibrational frequencies Vibrational corrections to molecular properties The following has been implemented in Dalton Numerical derivatives of energies, gradients, and Hessians Numerical derivatives of properties (NMR spin-spin constants)

Relativistic corrections Since magnetic properties are sensitive to relativistic corrections, it is important to estimate the magnitudes of these corrections A general framework for such calculations has been developed, based on Kutzelnigg s DPT (Hennum, Helgaker, and Klopper) First-order DPT has been implemented at the coupled-cluster level (Hennum, Halkier, and Klopper) For corrections to magnetic properties, the initial implementation will be carried out at the simpler MCSCF/DFT levels Some work has also been carried out using ZORA Work on parity violation is been carried out at the MCSCF/DFT levels

ab initio Direct Dynamics Scheme: 1 Initial sampling Start from minimum or TS and choose a temperature Monte-Carlo techniques to sample rotation and vibration Determine position and momentum of all atoms 2 Integration Classical equations of motion Integrate based on ab initio potential energy surface Energies, gradients and Hessians calculated on the fly 3 Final analysis Determine energy distribution for system and fragments

ab initio Direct Dynamics Improvements currently being implemented: Initial sampling Robust sampling routines (5th order polynomial, see below) # of quantas in each vib. mode can be selected or sampled Integration 5th order predictor-corrector method: Step sizes can be an order of a magnitude larger than for quadratic model Updated Hessians (Bofill s method): Systems containing 10-15 atoms runs 2-3 times faster

ab initio Direct Dynamics Example - Protonated hydrogen peroxide: C 2 H 6 + H 2 OOH + has been studied both experimentally (mass spectrometry) and theoretically Good agreement, trajectory calculations seem to confirm proposed mechanism: 0 fs 20 fs 40 fs 80 fs 150 fs 250 fs