Treffer: PyFLOSIC: Python-based Fermi–Löwdin orbital self-interaction correction.

Title:
PyFLOSIC: Python-based Fermi–Löwdin orbital self-interaction correction.
Authors:
Schwalbe, Sebastian1 (AUTHOR) pyflosic@gmail.com, Fiedler, Lenz1 (AUTHOR), Kraus, Jakob1 (AUTHOR), Kortus, Jens1 (AUTHOR) jens.kortus@physik.tu-freiberg.de, Trepte, Kai2 (AUTHOR), Lehtola, Susi3 (AUTHOR) susi.lehtola@alumni.helsinki.fi
Source:
Journal of Chemical Physics. 8/28/2020, Vol. 153 Issue 8, p1-14. 14p. 3 Diagrams, 4 Charts.
Database:
Academic Search Index

Weitere Informationen

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. [ABSTRACT FROM AUTHOR]