tum-hydromechanics/tum-mglet-base
Nov 2024 – Mar 2025
3 Months active
Languages Used
FortranPythonShellYAML
Technical Skills
CI/CDFortran ProgrammingGitHub ActionsNumerical ComputingPython ScriptingScientific Computing
Simon Wenczowski
PROFILE
Simon Wenczowski
Simon Wenczowski enhanced the tum-hydromechanics/tum-mglet-base repository by developing robust numerical features and improving simulation reliability. He implemented safe division functions in Fortran to prevent NaN propagation, refactored core and plugin modules for consistent numerical stability, and automated code linting with GitHub Actions and Python tooling. Simon also refined the immersed boundary method by clarifying area and volume calculations, introducing new representations for improved accuracy. Addressing distributed simulation challenges, he fixed MPI-based I/O synchronization and corrected volume marker usage in pressure cell calculations. His work demonstrated depth in scientific computing, parallel programming, and disciplined code quality practices across the codebase.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
540
Activity Months3
Your Network
123 people
Work History
March 2025
2 Commits
Mar 1, 2025March 2025: Delivered critical reliability and accuracy improvements in the tum-mglet-base project, focusing on distributed simulations. Implemented two high-impact bug fixes that stabilize I/O and numeric results, enabling more trustworthy large-scale runs and better decision support.
2 Commits
Mar 1, 2025March 2025: Delivered critical reliability and accuracy improvements in the tum-mglet-base project, focusing on distributed simulations. Implemented two high-impact bug fixes that stabilize I/O and numeric results, enabling more trustworthy large-scale runs and better decision support.
March 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Implemented Area and Volume Calculation Accuracy Enhancement for the immersed boundary method in tum-mglet-base. Refactored area representations from AU/AV/AW to AREAU/AREAV/AREAW and introduced VOLP for the volume of pressure cells, significantly improving the accuracy of area and volume calculations. The change is captured in commit a162bc63089b0af695689075523b9936e02078dd. Impact: higher fidelity boundary interactions in simulations, enabling more reliable validation and downstream improvements. Technologies/skills: numerical method refinement, refactoring for clarity, and disciplined version control.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Implemented Area and Volume Calculation Accuracy Enhancement for the immersed boundary method in tum-mglet-base. Refactored area representations from AU/AV/AW to AREAU/AREAV/AREAW and introduced VOLP for the volume of pressure cells, significantly improving the accuracy of area and volume calculations. The change is captured in commit a162bc63089b0af695689075523b9936e02078dd. Impact: higher fidelity boundary interactions in simulations, enabling more reliable validation and downstream improvements. Technologies/skills: numerical method refinement, refactoring for clarity, and disciplined version control.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for tum-hydromechanics/tum-mglet-base focusing on numerical stability and code quality improvements. Key features delivered include robust division functions to prevent NaN values across core simulations and plugin modules, and a refactor of division operations to uniformly utilize these safeguards. Major bugs fixed include mitigation of numerical instability caused by risky divisions by introducing robust divide0-based handling, ensuring stable calculations across workflows. Additionally, an automated linting workflow for Fortran code was added via GitHub Actions, installing the whatthepatch Python package and linting code against the master branch to catch quality regressions early. These efforts reduce runtime risk, shorten debugging cycles, and establish a foundation for safer, scalable simulations. Technologies and skills demonstrated include Fortran lint automation, CI integration, Python tooling (whatthepatch), and code refactoring for numerical stability; all contributing to higher reliability and maintainability.
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for tum-hydromechanics/tum-mglet-base focusing on numerical stability and code quality improvements. Key features delivered include robust division functions to prevent NaN values across core simulations and plugin modules, and a refactor of division operations to uniformly utilize these safeguards. Major bugs fixed include mitigation of numerical instability caused by risky divisions by introducing robust divide0-based handling, ensuring stable calculations across workflows. Additionally, an automated linting workflow for Fortran code was added via GitHub Actions, installing the whatthepatch Python package and linting code against the master branch to catch quality regressions early. These efforts reduce runtime risk, shorten debugging cycles, and establish a foundation for safer, scalable simulations. Technologies and skills demonstrated include Fortran lint automation, CI integration, Python tooling (whatthepatch), and code refactoring for numerical stability; all contributing to higher reliability and maintainability.
November 2024
Activity
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Quality Metrics
Correctness86.0%
Maintainability80.0%
Architecture80.0%
Performance66.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranPythonShellYAML
Technical Skills
CI/CDComputational Fluid DynamicsFortran ProgrammingGitHub ActionsI/O OperationsImmersed Boundary MethodMPINumerical ComputingNumerical MethodsParallel ComputingPython ScriptingScientific ComputingShell Scripting
Repositories Contributed To
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