pmgbergen/porepy
Nov 2024 – Dec 2025
9 Months active
Languages Used
PythonC++JSONMarkdown
Technical Skills
Code FormattingCode MaintenanceCode OrganizationCode RefactoringData ClassesDocumentation
mariusnevland
PROFILE
Mariusnevland
Contributed to the pmgbergen/porepy repository by developing and refining features for scientific computing workflows, with a focus on numerical simulation, code maintainability, and onboarding experience. Over nine months, delivered enhancements such as centralized numerical constants, modernized divergence utilities, and extensible mixin-based constitutive laws for contact mechanics. Improved code readability and reliability through Python refactoring, documentation updates, and rigorous testing, while aligning tutorials and metadata for reproducibility in Jupyter notebooks. Addressed data export, visualization, and geometry modeling, ensuring clarity in both code and user-facing materials. Leveraged Python, Jupyter, and C++ to streamline simulation modeling and support robust, maintainable software development.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
42Total
Bugs
4
Commits
42
Features
15
Lines of code
1,430
Activity Months9
Your Network
35 peopleWork History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for the pmgbergen/porepy development work. Focused on tutorial quality improvements, visualization reliability, and expanded geometry explanations. Addressed platform onboarding needs by hardening tutorial outputs and clarifying model geometry across 2D/3D domains and fractures, enabling faster experimentation and reproducibility.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for the pmgbergen/porepy development work. Focused on tutorial quality improvements, visualization reliability, and expanded geometry explanations. Addressed platform onboarding needs by hardening tutorial outputs and clarifying model geometry across 2D/3D domains and fractures, enabling faster experimentation and reproducibility.
December 2025
November 2025
6 Commits • 3 Features
Nov 1, 20252025-11 monthly summary for pmgbergen/porepy. Focused on delivering feature-rich improvements and documentation cleanups to boost data workflow, reproducibility, and onboarding, with a targeted performance-oriented cleanup. No major bug fixes recorded this month; efforts centered on enhancing data export, visualization, and user-facing docs, aligned with the model class framework.
November 2025
6 Commits • 3 Features
Nov 1, 20252025-11 monthly summary for pmgbergen/porepy. Focused on delivering feature-rich improvements and documentation cleanups to boost data workflow, reproducibility, and onboarding, with a targeted performance-oriented cleanup. No major bug fixes recorded this month; efforts centered on enhancing data export, visualization, and user-facing docs, aligned with the model class framework.
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025: Focused on upgrading the porepy tutorials to improve usability and reproducibility. Delivered Tutorial Content Improvements by consolidating and reorganizing sections, updating execution counts in Jupyter notebooks, removing perturbed-geometry references from the grids tutorial, and adding mathematical formulations in the single-phase flow and poromechanics tutorials. Commits documenting the changes include 046d8da0588fae927df1a297e6bd2c65081fb65e, b4def4d18f4a933535a1c6ae6a30d3230a609fa2,_ec98301c1eb3daeeca0b205a2cff1f01e1bb6a76_. Major bugs fixed: none reported this month. Overall impact: improved learning experience, faster onboarding, and better reproducibility for users; alignment with maintainability and documentation goals. Technologies/skills demonstrated: Python, Jupyter notebooks, mathematical formulations, tutorial authoring, and Git version control.
3 Commits • 1 Features
Oct 1, 2025October 2025: Focused on upgrading the porepy tutorials to improve usability and reproducibility. Delivered Tutorial Content Improvements by consolidating and reorganizing sections, updating execution counts in Jupyter notebooks, removing perturbed-geometry references from the grids tutorial, and adding mathematical formulations in the single-phase flow and poromechanics tutorials. Commits documenting the changes include 046d8da0588fae927df1a297e6bd2c65081fb65e, b4def4d18f4a933535a1c6ae6a30d3230a609fa2,_ec98301c1eb3daeeca0b205a2cff1f01e1bb6a76_. Major bugs fixed: none reported this month. Overall impact: improved learning experience, faster onboarding, and better reproducibility for users; alignment with maintainability and documentation goals. Technologies/skills demonstrated: Python, Jupyter notebooks, mathematical formulations, tutorial authoring, and Git version control.
October 2025
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for pmgbergen/porepy: Key features delivered include a Tutorial: Naming Conventions Documentation and Intro with a new section on naming conventions, updated introduction, and linked external references; Code Cleanup: Naming Convention Consistency for Aperture and Specific Volume with descriptive variable names and restoration of original aperture naming for readability; and minor metadata updates to notebook kernel and Python version display. Major bugs fixed: none reported this month; focus on documentation quality and code readability to reduce maintenance cost. Overall impact and accomplishments: improved onboarding and developer experience, cleaner codebase, and more reliable metadata, enabling faster feature integration and fewer defects. Technologies/skills demonstrated: Python refactoring, documentation augmentation, naming conventions, notebook metadata handling, and general repo hygiene.
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for pmgbergen/porepy: Key features delivered include a Tutorial: Naming Conventions Documentation and Intro with a new section on naming conventions, updated introduction, and linked external references; Code Cleanup: Naming Convention Consistency for Aperture and Specific Volume with descriptive variable names and restoration of original aperture naming for readability; and minor metadata updates to notebook kernel and Python version display. Major bugs fixed: none reported this month; focus on documentation quality and code readability to reduce maintenance cost. Overall impact and accomplishments: improved onboarding and developer experience, cleaner codebase, and more reliable metadata, enabling faster feature integration and fewer defects. Technologies/skills demonstrated: Python refactoring, documentation augmentation, naming conventions, notebook metadata handling, and general repo hygiene.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025: Improved test documentation to reflect updated elastoplastic model and momentum balance simulations in the porepy repository. Updated test_momentum_balance.py comments for readability, corrected numerical values in displacement-related notes, and added bracket notation for numeric arrays to clarify test cases. All changes delivered via documentation-focused commits to ensure traceability and maintainability, reinforcing test reliability and new-joiner onboarding.
2 Commits • 1 Features
Apr 1, 2025April 2025: Improved test documentation to reflect updated elastoplastic model and momentum balance simulations in the porepy repository. Updated test_momentum_balance.py comments for readability, corrected numerical values in displacement-related notes, and added bracket notation for numeric arrays to clarify test cases. All changes delivered via documentation-focused commits to ensure traceability and maintainability, reinforcing test reliability and new-joiner onboarding.
April 2025
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two extensible feature enhancements for porepy and strengthened test quality, enabling more accurate and robust simulations. Key contributions include the Characteristic Traction/Displacement Mixins enabling alternative characteristic definitions based on solid constants and Young's modulus, and the New Constitutive Law Integration for Contact Mechanics with refactored numerical constant calculations and updated documentation. Major fixes focused on test convergence and code quality, including tolerance relaxation where needed and linting/formatting improvements. Impact: greater modeling flexibility, improved reliability, and easier maintenance, with documentation updated for these changes. Technologies demonstrated: Python object-oriented design with mixins, refactoring, documentation, testing and CI hygiene using Ruff.
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two extensible feature enhancements for porepy and strengthened test quality, enabling more accurate and robust simulations. Key contributions include the Characteristic Traction/Displacement Mixins enabling alternative characteristic definitions based on solid constants and Young's modulus, and the New Constitutive Law Integration for Contact Mechanics with refactored numerical constant calculations and updated documentation. Major fixes focused on test convergence and code quality, including tolerance relaxation where needed and linting/formatting improvements. Impact: greater modeling flexibility, improved reliability, and easier maintenance, with documentation updated for these changes. Technologies demonstrated: Python object-oriented design with mixins, refactoring, documentation, testing and CI hygiene using Ruff.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for pmgbergen/porepy highlights two primary focus areas: simplifying the momentum-balance physics and improving code readability. The changes preserve numerical behavior while reducing complexity, thereby lowering maintenance overhead and accelerating future development.
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for pmgbergen/porepy highlights two primary focus areas: simplifying the momentum-balance physics and improving code readability. The changes preserve numerical behavior while reducing complexity, thereby lowering maintenance overhead and accelerating future development.
February 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for repository pmgbergen/porepy focused on API clarity and maintainability improvements. The main deliverable this month was a Divergence API refinement to use a dim parameter, improving clarity of the intended dimension and consistency across the numerical modules and tests. This work aligns with ongoing efforts to reduce onboarding time and prevent misuse by providing explicit, well-documented interfaces.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for repository pmgbergen/porepy focused on API clarity and maintainability improvements. The main deliverable this month was a Divergence API refinement to use a dim parameter, improving clarity of the intended dimension and consistency across the numerical modules and tests. This work aligns with ongoing efforts to reduce onboarding time and prevent misuse by providing explicit, well-documented interfaces.
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 performance summary focusing on numerical constants centralization, divergence utilities modernization, and test reliability improvements in porepy. Implemented a centralized NumericalConstants framework wired across SolutionStrategy and the momentum balance model, updated tests to rely on centralized constants, and tuned tolerances (open_state_tolerance). Modernized divergence handling by adding Grid.divergence for tensor ranks, replacing legacy scalar/vector divergence helpers, and standardizing usage across tests. Fixed energy balance initialization and updated momentum balance tests to accommodate numerical constants, improving test reliability. Code quality improvements (Black/flake8) and documentation updates supported maintainability and faster iteration on solver development. Business value includes more predictable simulations, easier tuning, and reduced maintenance overhead.
14 Commits • 2 Features
Nov 1, 2024November 2024 performance summary focusing on numerical constants centralization, divergence utilities modernization, and test reliability improvements in porepy. Implemented a centralized NumericalConstants framework wired across SolutionStrategy and the momentum balance model, updated tests to rely on centralized constants, and tuned tolerances (open_state_tolerance). Modernized divergence handling by adding Grid.divergence for tensor ranks, replacing legacy scalar/vector divergence helpers, and standardizing usage across tests. Fixed energy balance initialization and updated momentum balance tests to accommodate numerical constants, improving test reliability. Code quality improvements (Black/flake8) and documentation updates supported maintainability and faster iteration on solver development. Business value includes more predictable simulations, easier tuning, and reduced maintenance overhead.
November 2024
Activity
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Quality Metrics
Correctness93.4%
Maintainability92.4%
Architecture89.6%
Performance87.6%
AI Usage20.4%
Skills & Technologies
Programming Languages
C++JSONMarkdownPython
Technical Skills
Code FormattingCode MaintenanceCode OrganizationCode RefactoringData ClassesData ScienceDocumentationFinite Volume MethodJupyter NotebookJupyter NotebooksLintingMaintainabilityMaterial PropertiesMixin DesignModel Parameter Tuning
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