amrvac/AGILE-experimental
Feb 2026 – Feb 2026
1 Month active
Languages Used
Fortran
Technical Skills
FortranFortran programmingcomputational fluid dynamicsfinite volume methodfluid dynamicsnumerical methods
A Kelly
PROFILE
A Kelly
Adrian Kelly developed a modular flux solver architecture for the amrvac/AGILE-experimental repository, focusing on flexibility and maintainability in computational fluid dynamics workflows. He implemented HLL and HLLC solvers with a dynamic wrapper, allowing runtime selection of flux schemes, and refactored the codebase to clearly separate flux schemes from Riemann solvers with consistent naming conventions. Using Fortran and numerical methods, Adrian integrated configurable flux schemes via parameter files and improved the stability of TVD-LF by fixing backup LLF wave speeds. He also established test scaffolding with dummy wave-speed estimates, supporting ongoing experimentation and collaborative scientific computing development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
759
Activity Months1
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Work History
February 2026
8 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for amrvac/AGILE-experimental: Delivered foundational modular flux solver architecture and configurable schemes, enabling flexible experimentation and improved maintainability. Implemented HLL and HLLC solvers with wrapper for dynamic flux scheme selection, and refactored code to separate flux schemes from Riemann solvers with consistent naming. Added test scaffolding using dummy wave-speed estimates to validate solver behavior. Hooked flux schemes to the parameter file and fixed backup LLF wave speeds in TVD-LF to improve stability and accuracy. Minor fixes and naming improvements completed to enhance code health and collaboration readiness.
8 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for amrvac/AGILE-experimental: Delivered foundational modular flux solver architecture and configurable schemes, enabling flexible experimentation and improved maintainability. Implemented HLL and HLLC solvers with wrapper for dynamic flux scheme selection, and refactored code to separate flux schemes from Riemann solvers with consistent naming. Added test scaffolding using dummy wave-speed estimates to validate solver behavior. Hooked flux schemes to the parameter file and fixed backup LLF wave speeds in TVD-LF to improve stability and accuracy. Minor fixes and naming improvements completed to enhance code health and collaboration readiness.
February 2026
Activity
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Quality Metrics
Correctness77.6%
Maintainability82.4%
Architecture80.0%
Performance75.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
FortranFortran programmingcomputational fluid dynamicsfinite volume methodfluid dynamicsnumerical methodsscientific computing
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