PyOrbb-Automated Analyses of Orbital-Interaction Mechanisms.

Authors

Yuman Hordijk, Steven E Beutick, Xiaobo Sun, Laurens Groot, Tori Gijzen, Jordi Poater, Trevor A Hamlin, F Matthias Bickelhaupt, Célia Fonseca Guerra

Published in

Journal of computational chemistry. Volume 47. Issue 26. Pages e70512. Oct 05, 2026.

Abstract

We present PyOrbb, an open-source, user-friendly Python-based program that automates the analysis and visualization of orbital interaction mechanisms between molecular fragments or reactants, based on quantum-chemical computations with the Amsterdam Density Functional (ADF) program. PyOrbb extracts the essential mixing patterns, presents them in an interactively adjustable orbital interaction diagram, and summarizes all relevant quantitative data in a convenient Excel spreadsheet for further analysis. The tool enables efficient interpretation of chemical bonding across a broad range of systems, including examples from organic, inorganic, and supramolecular chemistry. The application runs on macOS and Windows operating systems. PyOrbb is shown to accurately and rapidly visualize relevant bonding mechanisms from the often-overwhelming output of density functional computations.

PMID:
42816452
Bibliographic data and abstract were imported from PubMed on 01 Oct 2026.

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