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.
Skip Nav Destination
CHORUS
Article navigation
28 August 2020
Research Article|
August 24 2020
PyFLOSIC: Python-based Fermi–Löwdin orbital self-interaction correction
Special Collection:
Chemical Physics Software Collection
Sebastian Schwalbe
;
Sebastian Schwalbe
a)
1
Institute of Theoretical Physics, TU Bergakademie Freiberg
, Leipziger Str. 23, D-09599 Freiberg, Germany
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Lenz Fiedler
;
Lenz Fiedler
1
Institute of Theoretical Physics, TU Bergakademie Freiberg
, Leipziger Str. 23, D-09599 Freiberg, Germany
Search for other works by this author on:
Jakob Kraus
;
Jakob Kraus
1
Institute of Theoretical Physics, TU Bergakademie Freiberg
, Leipziger Str. 23, D-09599 Freiberg, Germany
Search for other works by this author on:
Jens Kortus
;
Jens Kortus
b)
1
Institute of Theoretical Physics, TU Bergakademie Freiberg
, Leipziger Str. 23, D-09599 Freiberg, Germany
Search for other works by this author on:
Kai Trepte
;
Kai Trepte
2
Department of Physics, Central Michigan University
, Mount Pleasant, Michigan 48859, USA
Search for other works by this author on:
Susi Lehtola
Susi Lehtola
c)
3
Department of Chemistry, University of Helsinki
, P.O. Box 55 (A. I. Virtasen Aukio 1), FI-00014 University of Helsinki, Finland
Search for other works by this author on:
a)Author to whom correspondence should be addressed: [email protected]
b)
Electronic mail: [email protected]
c)
Electronic mail: [email protected]
J. Chem. Phys. 153, 084104 (2020)
Article history
Received:
May 03 2020
Accepted:
July 31 2020
Citation
Sebastian Schwalbe, Lenz Fiedler, Jakob Kraus, Jens Kortus, Kai Trepte, Susi Lehtola; PyFLOSIC: Python-based Fermi–Löwdin orbital self-interaction correction. J. Chem. Phys. 28 August 2020; 153 (8): 084104. https://doi.org/10.1063/5.0012519
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.
CREST—A program for the exploration of low-energy molecular chemical space
Philipp Pracht, Stefan Grimme, et al.
Rubber wear: Experiment and theory
B. N. J. Persson, R. Xu, et al.
Related Content
Reproducibility of density functional approximations: How new functionals should be reported
J. Chem. Phys. (September 2023)
Implementation of Perdew–Zunger self-interaction correction in real space using Fermi–Löwdin orbitals
J. Chem. Phys. (February 2021)
Toward quantum-chemical method development for arbitrary basis functions
J. Chem. Phys. (August 2018)
Interoperable workflows by exchanging grid-based data between quantum-chemical program packages
J. Chem. Phys. (April 2024)
PSI4 1.4: Open-source software for high-throughput quantum chemistry
J. Chem. Phys. (May 2020)