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PyFLOSIC: Python-based Fermi-Löwdin orbital self-interaction correction.
Schwalbe, Sebastian; Fiedler, Lenz; Kraus, Jakob; Kortus, Jens; Trepte, Kai; Lehtola, Susi.
Afiliación
  • Schwalbe S; Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Str. 23, D-09599 Freiberg, Germany.
  • Fiedler L; Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Str. 23, D-09599 Freiberg, Germany.
  • Kraus J; Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Str. 23, D-09599 Freiberg, Germany.
  • Kortus J; Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Str. 23, D-09599 Freiberg, Germany.
  • Trepte K; Department of Physics, Central Michigan University, Mount Pleasant, Michigan 48859, USA.
  • Lehtola S; Department of Chemistry, University of Helsinki, P.O. Box 55 (A. I. Virtasen Aukio 1), FI-00014 University of Helsinki, Finland.
J Chem Phys ; 153(8): 084104, 2020 Aug 28.
Article en En | MEDLINE | ID: mdl-32872868
ABSTRACT
We present pyflosic, an open-source, general-purpose python implementation of the Fermi-Löwdin orbital self-interaction correction (FLO-SIC), which is based on the python simulation of chemistry framework (pyscf) electronic structure and quantum chemistry code. Thanks to pyscf, pyflosic can be used with any kind of Gaussian-type basis set, various kinds of radial and angular quadrature grids, and all exchange-correlation functionals within the local density approximation, generalized-gradient approximation (GGA), and meta-GGA provided in the libxc and xcfun libraries. A central aspect of FLO-SIC is the Fermi-orbital descriptors, which are used to estimate the self-interaction correction. Importantly, they can be initialized automatically within pyflosic; they can also be optimized within pyflosic with an interface to the atomic simulation environment, a python library that provides a variety of powerful gradient-based algorithms for geometry optimization. Although pyflosic has already facilitated applications of FLO-SIC to chemical studies, it offers an excellent starting point for further developments in FLO-SIC approaches, thanks to its use of a high-level programming language and pronounced modularity.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Chem Phys Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Chem Phys Año: 2020 Tipo del documento: Article País de afiliación: Alemania