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

Area of Science:

• Computational Chemistry
• Quantum Chemistry
• Materials Science

Background:

• Self-interaction error is a significant issue in electronic structure calculations, particularly for systems with localized electrons.
• Accurate modeling of electronic properties is crucial for understanding chemical reactions and material behavior.

Purpose of the Study:

• To present pyflosic, an open-source Python implementation of the Fermi-Löwdin orbital self-interaction correction (FLO-SIC).
• To provide a versatile tool for researchers to apply and further develop FLO-SIC methods in quantum chemistry.

Main Methods:

• Leveraging the Python Simulation of Chemistry Framework (PySCF) for electronic structure calculations.
• Implementing Fermi-orbital descriptors for self-interaction correction estimation.
• Integrating with the Atomic Simulation Environment (ASE) for geometry optimization.

Main Results:

• Pyflosic supports various basis sets, quadrature grids, and exchange-correlation functionals (LDA, GGA, meta-GGA).
• Automated initialization and optimization of Fermi-orbital descriptors are available.
• The software has already enabled applications in chemical studies.

Conclusions:

• Pyflosic offers a robust and modular platform for FLO-SIC calculations.
• Its open-source nature and integration capabilities facilitate further advancements in self-interaction correction methods.
• The tool enhances the accuracy of quantum chemistry simulations for various chemical systems.