A trust-region augmented Hessian implementation for restricted and unrestricted Hartree-Fock and Kohn-Sham methods
arXiv:2012.08306 · doi:10.1063/5.0040798
Abstract
We present a trust-region augmented Hessian implementation (TRAH-SCF) for restricted and unrestricted Hartree-Fock and Kohn-Sham methods. With TRAH-SCF convergence can always be achieved with tight convergence thresholds, which requires just a modest number of iterations. Our convergence benchmark study and our illustrative applications focus on open-shell molecules, also antiferromagnetically coupled systems, for which it is notoriously complicated to converge the Roothaan-Hall self-consistent field (SCF) equations. We compare the number of TRAH iterations to reach convergence with those of Pulay's and Kolmar's (K) variant of the direct inversion of the iterative subspace (DIIS) method and also analyze the obtained SCF solutions. Often TRAH-SCF finds a symmetry-broken solution with a lower energy than DIIS and KDIIS. For unrestricted calculations, this is accompanied by a larger spin contamination, i.e. larger deviation from the desired spin-restricted <S^2> expectation value. However, there are also rare cases in which DIIS finds a solution with a lower energy than KDIIS and TRAH. In rare cases, both TRAH-SCF and KDIIS may also converge to an excited-state determinant solution. For those calculations with negative-gap TRAH solutions, standard DIIS always diverges. If comparable, TRAH usually needs more iterations to converge than DIIS and KDIIS because for every new set of orbitals the level-shifted Newton-Raphson equations are solved approximately and iteratively by means of an eigenvalue problem. Nevertheless, the total runtime of TRAH-SCF is still competitive with the DIIS-based approaches even if extended basis sets are employed, which is illustrated for a large hemocyanin model complex.
References in corpus (3)
- Climbing the Density Functional Ladder: Non-Empirical Meta-Generalized Gradient Approximation Designed for Molecules and Solids
- A general second order complete active space self-consistent-field solver for large-scale systems
- Large-scale relativistic complete active space self-consistent field with robust convergence
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