VeloxChem/VeloxChem
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingbackend developmentquantum chemistryscientific computingunit testing
BauerMarco
PROFILE
Bauermarco
Worked on a major refactor of the Orbital Localization workflow in the VeloxChem/VeloxChem repository, developing the OrbitalLocalizationDriver to align with VeloxChem’s interface standards. This update standardized parameter handling and integrated SCF result processing, enabling molecular orbital localization to consume SCF result dictionaries and user-defined MO selection ranges. The approach improved usability by introducing a compute-based interaction model and eliminating recursion, while UI enhancements ensured safer indexing and validation. Implemented entirely in Python, the work leveraged backend development and scientific computing skills to deliver a more robust, reproducible, and automation-ready workflow for quantum chemistry applications without breaking backward compatibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
486
Activity Months1
Your Network
69 peopleShared Repositories
69
Work History
May 2026
4 Commits • 1 Features
May 1, 2026In VeloxChem/VeloxChem, May 2026 delivered a major refactor of the Orbital Localization workflow, establishing a robust OrbitalLocalizationDriver with an interface aligned to VeloxChem standards. The changes dramatically improve usability, reliability, and reproducibility of molecular orbital localization across workflows by standardizing parameter handling, SCF result integration, and MO selection processes. The UI and API improvements set the stage for easier automation and future enhancements while maintaining backward compatible access where possible.
4 Commits • 1 Features
May 1, 2026In VeloxChem/VeloxChem, May 2026 delivered a major refactor of the Orbital Localization workflow, establishing a robust OrbitalLocalizationDriver with an interface aligned to VeloxChem standards. The changes dramatically improve usability, reliability, and reproducibility of molecular orbital localization across workflows by standardizing parameter handling, SCF result integration, and MO selection processes. The UI and API improvements set the stage for easier automation and future enhancements while maintaining backward compatible access where possible.
May 2026
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingbackend developmentquantum chemistryscientific computingunit testing
Repositories Contributed To
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