VeloxChem/VeloxChem
Oct 2024 – Mar 2026
5 Months active
Languages Used
PythonCC++
Technical Skills
Computational ChemistryScientific ComputingC++C++ DevelopmentDFTFile Path Manipulation
Mickael Delcey
PROFILE
Mickael Delcey
Worked on the VeloxChem/VeloxChem repository, delivering five new features over five months focused on computational chemistry and scientific computing. Developed gradient computation support for MultiPsi and robust PDFT gradient capabilities, leveraging C++, Python, and parallel computing techniques such as OpenMP. Refactored core components like OptimizationDriver and C-PCM logic to improve modularity, maintainability, and testability, introducing dedicated driver classes and consolidating code paths. Enhanced molecular orbital overlap calculations by updating the overlap metric and expanding automated test coverage. The work emphasized clean architecture, reliable testing, and scalable performance, enabling more accurate simulations and streamlined future development within the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
5
Lines of code
1,792
Activity Months5
Your Network
69 peopleShared Repositories
69
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: VeloxChem/VeloxChem delivered a targeted accuracy enhancement for molecular orbital (MO) overlap calculations within the MOM workflow. The overlap metric was updated from the absolute value to the square of the overlap (ovl^2), improving the reliability of sorting molecular orbitals by overlap contributions. This feature is supported by added automated tests validating the maximum overlap method in the unrestricted SCF driver to ensure MO overlap calculations remain robust. No major bugs were reported this month. Overall impact includes more reliable MO-based decisions, stronger test coverage, and clearer signal for downstream property predictions.
2 Commits • 1 Features
Mar 1, 2026March 2026: VeloxChem/VeloxChem delivered a targeted accuracy enhancement for molecular orbital (MO) overlap calculations within the MOM workflow. The overlap metric was updated from the absolute value to the square of the overlap (ovl^2), improving the reliability of sorting molecular orbitals by overlap contributions. This feature is supported by added automated tests validating the maximum overlap method in the unrestricted SCF driver to ensure MO overlap calculations remain robust. No major bugs were reported this month. Overall impact includes more reliable MO-based decisions, stronger test coverage, and clearer signal for downstream property predictions.
March 2026
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 — VeloxChem/VeloxChem: Delivered a modular refactor of the C-PCM path by introducing a dedicated CpcmDriver, consolidating core PCM logic and reducing duplication across LinearSolver and ScfDriver. This change, evidenced by the commit ee8ed7cf746b02d7a21776221e32b6d535356247, lays groundwork for easier testing, future optimizations, and a cleaner architecture. No major bugs fixed in the provided data. Overall impact: improved maintainability, testability, and developer velocity, enabling faster feature iterations and more robust PCM paths. Technologies/skills demonstrated include modular design, driver abstraction, cross-module refactoring, and strong version-control hygiene.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 — VeloxChem/VeloxChem: Delivered a modular refactor of the C-PCM path by introducing a dedicated CpcmDriver, consolidating core PCM logic and reducing duplication across LinearSolver and ScfDriver. This change, evidenced by the commit ee8ed7cf746b02d7a21776221e32b6d535356247, lays groundwork for easier testing, future optimizations, and a cleaner architecture. No major bugs fixed in the provided data. Overall impact: improved maintainability, testability, and developer velocity, enabling faster feature iterations and more robust PCM paths. Technologies/skills demonstrated include modular design, driver abstraction, cross-module refactoring, and strong version-control hygiene.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for VeloxChem/VeloxChem focusing on delivering architectural improvements with clear business value.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for VeloxChem/VeloxChem focusing on delivering architectural improvements with clear business value.
January 2025
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 highlights: VeloxChem delivered a robust PDFT gradient capability for LDA and GGA, including gradient contributions from exchange-correlation functionals, parallelized gradient computation, and improved test-data paths. Notable bug fixes included improvements to test path determinism and the introduction of a memcpy-based memory utility to stabilize gradient workflows. These changes enable accurate, scalable PDFT gradient predictions for larger systems, while improving test reliability and developer experience through enhanced test coverage and infrastructure.
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 highlights: VeloxChem delivered a robust PDFT gradient capability for LDA and GGA, including gradient contributions from exchange-correlation functionals, parallelized gradient computation, and improved test-data paths. Notable bug fixes included improvements to test path determinism and the introduction of a memcpy-based memory utility to stabilize gradient workflows. These changes enable accurate, scalable PDFT gradient predictions for larger systems, while improving test reliability and developer experience through enhanced test coverage and infrastructure.
October 2024
1 Commits • 1 Features
Oct 1, 20242024-10 VeloxChem/VeloxChem monthly summary: Delivered initial MultiPsi gradient computation support and laid groundwork for gradient-based workflows; no major bugs fixed this month; focused on foundational integration and roadmap readiness.
1 Commits • 1 Features
Oct 1, 20242024-10 VeloxChem/VeloxChem monthly summary: Delivered initial MultiPsi gradient computation support and laid groundwork for gradient-based workflows; no major bugs fixed this month; focused on foundational integration and roadmap readiness.
October 2024
Activity
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Quality Metrics
Correctness96.0%
Maintainability90.0%
Architecture88.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Python
Technical Skills
C++C++ DevelopmentCode RefactoringComputational ChemistryDFTFile Path ManipulationFortranFortran (implied by numerical libraries)High-Performance Computing (HPC)Numerical MethodsObject-Oriented ProgrammingOpenMPParallel ComputingPythonRefactoring
Repositories Contributed To
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