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During January 2026, work focused on enhancing the lab-cosmo/atomistic-cookbook repository by delivering modular prefactor handling for flexible potentials. The main feature involved refactoring the codebase to move the prefactor from the EwaldCalculator to the InversePowerLawPotential, which reduced coupling and improved maintainability. This approach enabled more modular configurations and facilitated easier experimentation with different potential models. The changes were implemented using Python, leveraging skills in numerical methods and scientific computing. No major bugs were addressed during this period, but the update improved testability, clarified separation of concerns, and established a foundation for faster iteration on future enhancements.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
12
Activity Months1

Work History

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for lab-cosmo/atomistic-cookbook. Key feature delivered: Modular Prefactor Handling for Flexible Potentials. By moving the prefactor from EwaldCalculator to InversePowerLawPotential, the codebase now supports more modular configurations and easier experimentation with different potential models. This change reduces coupling, improves maintainability, and sets up faster iteration for future enhancements. No major bugs fixed this month. Impact: faster onboarding for new models, clearer separation of concerns, and traceable commits. Technologies/skills demonstrated: Python refactoring, modular design, interface decoupling, testability improvements, and commit-driven development.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Pythonnumerical methodsscientific computing

Repositories Contributed To

1 repo

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lab-cosmo/atomistic-cookbook

Jan 2026 Jan 2026
1 Month active

Languages Used

Python

Technical Skills

Pythonnumerical methodsscientific computing