SwanLab/Swan
Oct 2024 – Oct 2025
13 Months active
Languages Used
VTKMATLABTCLObjective-CXML
Technical Skills
Data AnalysisScientific ComputingSimulationBug FixingCode DocumentationCode Refactoring
jose-antonio-torres
PROFILE
Jose-antonio-torres
Jorge Torres Lerma developed advanced simulation and optimization features for the SwanLab/Swan repository, focusing on computational mechanics and topology optimization. Over thirteen months, he engineered robust workflows for finite element analysis, mesh generation, and constraint handling, using MATLAB and object-oriented programming to streamline code organization and enable scalable, high-fidelity simulations. His work included refactoring core modules, implementing boundary condition logic, and expanding support for multimaterial and anisotropic modeling. By improving test coverage, numerical stability, and data management, Jorge ensured reliable, maintainable code that supports complex scientific computing tasks. The depth of his contributions reflects strong engineering rigor and architectural foresight.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
160Total
Bugs
18
Commits
160
Features
66
Lines of code
1,015,323
Activity Months13
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 — SwanLab/Swan: Delivered a targeted boundary restriction logic refactor that simplifies function signatures by removing unnecessary input parameters and centralizes boundary rules within the domain object. This reduces API surface, enhances maintainability, and lowers risk when extending boundary-related features. The work emphasizes clean design and testability with localized changes.
1 Commits • 1 Features
Oct 1, 2025October 2025 — SwanLab/Swan: Delivered a targeted boundary restriction logic refactor that simplifies function signatures by removing unnecessary input parameters and centralizes boundary rules within the domain object. This reduces API surface, enhances maintainability, and lowers risk when extending boundary-related features. The work emphasizes clean design and testability with localized changes.
October 2025
September 2025
18 Commits • 3 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on SwanLab/Swan. Highlights delivered TractionLoad integration, unfitted RHS improvements, and validation tooling, driving expanded modeling capabilities and reliability.
September 2025
18 Commits • 3 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on SwanLab/Swan. Highlights delivered TractionLoad integration, unfitted RHS improvements, and validation tooling, driving expanded modeling capabilities and reliability.
August 2025
13 Commits • 3 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on feature delivery, bug fixes, and technical achievements across SwanLab/Swan. Delivered base domain and unfitted mesh support propagated across tutorials, tests, and constraints, enabling the base mesh to drive volume constraints and ensuring tests pass with the base mesh where needed. Introduced a topology optimization level-set infill workflow with a new tutorial and expanded test coverage for perimeter, iso-perimeter, and droplet constraints. Performed targeted internal numerical refactors to improve clarity and maintainability (computeShapeSymmetricGradient; streamlined stiffness matrix computations). Achieved robust test stability (tests passing with TO and removal of a droplet warning) and reduced configuration overhead for future experiments.
13 Commits • 3 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on feature delivery, bug fixes, and technical achievements across SwanLab/Swan. Delivered base domain and unfitted mesh support propagated across tutorials, tests, and constraints, enabling the base mesh to drive volume constraints and ensuring tests pass with the base mesh where needed. Introduced a topology optimization level-set infill workflow with a new tutorial and expanded test coverage for perimeter, iso-perimeter, and droplet constraints. Performed targeted internal numerical refactors to improve clarity and maintainability (computeShapeSymmetricGradient; streamlined stiffness matrix computations). Achieved robust test stability (tests passing with TO and removal of a droplet warning) and reduced configuration overhead for future experiments.
August 2025
July 2025
12 Commits • 5 Features
Jul 1, 2025July 2025 — SwanLab/Swan monthly summary. Overview: Delivered core feature enhancements for multimaterial gradient modeling, anisotropic material handling, and phase-field workflows; performed targeted refactors to improve maintainability; and stabilized test scaffolding to ensure reliable verification of changes. These efforts collectively advance simulation accuracy, reduce run-time friction for common use cases, and strengthen engineering rigor across tutorials and test suites.
July 2025
12 Commits • 5 Features
Jul 1, 2025July 2025 — SwanLab/Swan monthly summary. Overview: Delivered core feature enhancements for multimaterial gradient modeling, anisotropic material handling, and phase-field workflows; performed targeted refactors to improve maintainability; and stabilized test scaffolding to ensure reliable verification of changes. These efforts collectively advance simulation accuracy, reduce run-time friction for common use cases, and strengthen engineering rigor across tutorials and test suites.
June 2025
5 Commits • 3 Features
Jun 1, 2025June 2025 (SwanLab/Swan) delivered three core capability improvements focused on accuracy, stability, and extensibility of cantilever simulations and tensor projections. Key features include: (1) Cantilever density coupled simulation improvements with mesh resolution, plotting behavior, perimeter constraint parameter refinements, and enhanced elemental stiffness matrix computation, enabling more accurate and controllable designs. (2) Projector enhancements for Lagrangian Tensor, introducing ProjectorToLagrangianTensor and refactoring the projector API to support higher-order tensor projections with correct LHS/RHS computations and DOFs per element, increasing modeling fidelity and flexibility. (3) Numerical stability and performance improvements for AlphaBeta computations, including static-method refactors and a new helper inv4D to improve matrix inversions and tensor products, plus updated tests to reflect changes. These changes collectively reduce iteration time, improve numerical robustness, and lay groundwork for more scalable simulations.)
5 Commits • 3 Features
Jun 1, 2025June 2025 (SwanLab/Swan) delivered three core capability improvements focused on accuracy, stability, and extensibility of cantilever simulations and tensor projections. Key features include: (1) Cantilever density coupled simulation improvements with mesh resolution, plotting behavior, perimeter constraint parameter refinements, and enhanced elemental stiffness matrix computation, enabling more accurate and controllable designs. (2) Projector enhancements for Lagrangian Tensor, introducing ProjectorToLagrangianTensor and refactoring the projector API to support higher-order tensor projections with correct LHS/RHS computations and DOFs per element, increasing modeling fidelity and flexibility. (3) Numerical stability and performance improvements for AlphaBeta computations, including static-method refactors and a new helper inv4D to improve matrix inversions and tensor products, plus updated tests to reflect changes. These changes collectively reduce iteration time, improve numerical robustness, and lay groundwork for more scalable simulations.)
June 2025
May 2025
10 Commits • 6 Features
May 1, 2025May 2025 SwanLab/Swan: Delivered elasticity and topology optimization enhancements, strengthened robustness of design-variable/LevelSet management, and improved mesh persistence to enable higher-fidelity simulations and reproducible workflows. Key outcomes include expanded elasticity capabilities (4th-order Chomog tensor support and 2D handling), robust fixes in RHS computation, and new/localized topology tooling, all supported by improved saving and unfitted-mesh handling.
May 2025
10 Commits • 6 Features
May 1, 2025May 2025 SwanLab/Swan: Delivered elasticity and topology optimization enhancements, strengthened robustness of design-variable/LevelSet management, and improved mesh persistence to enable higher-fidelity simulations and reproducible workflows. Key outcomes include expanded elasticity capabilities (4th-order Chomog tensor support and 2D handling), robust fixes in RHS computation, and new/localized topology tooling, all supported by improved saving and unfitted-mesh handling.
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 Monthly Summary for SwanLab/Swan focusing on business value, key features delivered, major bugs fixed, and overall accomplishments. This month strengthened optimization accuracy, numerical stability, and code maintainability to support scalable development and more realistic experimentation.
6 Commits • 2 Features
Apr 1, 2025April 2025 Monthly Summary for SwanLab/Swan focusing on business value, key features delivered, major bugs fixed, and overall accomplishments. This month strengthened optimization accuracy, numerical stability, and code maintainability to support scalable development and more realistic experimentation.
April 2025
March 2025
16 Commits • 4 Features
Mar 1, 2025March 2025 performance snapshot for Swan (SwanLab/Swan). Delivered targeted architecture and reliability improvements to reduce boilerplate, accelerate onboarding, and enable more robust optimization across multi-mesh scenarios. Key deliveries include a simplified configuration and data container initialization (removing AbstractSettings/SettingsLoader and adopting handle-based initialization), a comprehensive overhaul of the optimization framework with OptimizerProjectedGradient, unified updaters, improved convergence criteria, and density-aware metrics, a refactor of perimeter constraints to PerimeterConstraint/PerimeterFunctional with dual-G2 capabilities for unfitted meshes, and a new gripping workflow with MATLAB tooling. All changes shipped with expanded tests and tutorials, enhancing reliability, documentation, and CI readiness. This work drives business value through faster iteration, reduced maintenance burden, and better simulation capabilities.
March 2025
16 Commits • 4 Features
Mar 1, 2025March 2025 performance snapshot for Swan (SwanLab/Swan). Delivered targeted architecture and reliability improvements to reduce boilerplate, accelerate onboarding, and enable more robust optimization across multi-mesh scenarios. Key deliveries include a simplified configuration and data container initialization (removing AbstractSettings/SettingsLoader and adopting handle-based initialization), a comprehensive overhaul of the optimization framework with OptimizerProjectedGradient, unified updaters, improved convergence criteria, and density-aware metrics, a refactor of perimeter constraints to PerimeterConstraint/PerimeterFunctional with dual-G2 capabilities for unfitted meshes, and a new gripping workflow with MATLAB tooling. All changes shipped with expanded tests and tutorials, enhancing reliability, documentation, and CI readiness. This work drives business value through faster iteration, reduced maintenance burden, and better simulation capabilities.
February 2025
22 Commits • 11 Features
Feb 1, 2025February 2025 (SwanLab/Swan) delivered core reliability, scalable mesh processing, and data pipelines, enabling faster validation, safer releases, and foundation for multi-material workflows. Business value includes reduced release risk through stable test suites, improved rendering/integration for unfitted components, scalable mesh operations, groundwork for Multimat TO and image processing workflows, and proactive quality with cherry-pick monitoring.
22 Commits • 11 Features
Feb 1, 2025February 2025 (SwanLab/Swan) delivered core reliability, scalable mesh processing, and data pipelines, enabling faster validation, safer releases, and foundation for multi-material workflows. Business value includes reduced release risk through stable test suites, improved rendering/integration for unfitted components, scalable mesh operations, groundwork for Multimat TO and image processing workflows, and proactive quality with cherry-pick monitoring.
February 2025
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 SwanLab/Swan: Codebase Refactor and Reorganization completed to improve maintainability and readiness for larger architecture changes. Major refactor of project structure; created dedicated directories (Algebra, Mesh, UnfittedMesh); moved files from Old to src; renamed classes to remove underscores; fixed typos. No user-facing features delivered this month; improvements focused on code quality, stability, and tutorial reliability. The commit stream driving changes includes: 12decb04 basic structure; dbca98b6 Swan Odyssey - Episode 2; 0a9b70b8 First tutorial working ;) ; fda654082d6cdeba7e49b8f7a049d8d3d6ff2eb5; dbf3850a0e076edd03748b3b24a60686ebebdff0. Overall impact: reduced technical debt, smoother onboarding, and a solid foundation for future feature work. Technologies/skills demonstrated: codebase refactoring, directory restructuring, naming conventions, and automation of tutorial workflows.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 SwanLab/Swan: Codebase Refactor and Reorganization completed to improve maintainability and readiness for larger architecture changes. Major refactor of project structure; created dedicated directories (Algebra, Mesh, UnfittedMesh); moved files from Old to src; renamed classes to remove underscores; fixed typos. No user-facing features delivered this month; improvements focused on code quality, stability, and tutorial reliability. The commit stream driving changes includes: 12decb04 basic structure; dbca98b6 Swan Odyssey - Episode 2; 0a9b70b8 First tutorial working ;) ; fda654082d6cdeba7e49b8f7a049d8d3d6ff2eb5; dbf3850a0e076edd03748b3b24a60686ebebdff0. Overall impact: reduced technical debt, smoother onboarding, and a solid foundation for future feature work. Technologies/skills demonstrated: codebase refactoring, directory restructuring, naming conventions, and automation of tutorial workflows.
December 2024
24 Commits • 12 Features
Dec 1, 2024December 2024 Swan delivered robust numerical improvements, performance gains, and strong build/readiness. The work reduced risk, improved user feedback, and stabilized calibration/tutorial workflows to accelerate customer value delivery.
24 Commits • 12 Features
Dec 1, 2024December 2024 Swan delivered robust numerical improvements, performance gains, and strong build/readiness. The work reduced risk, improved user feedback, and stabilized calibration/tutorial workflows to accelerate customer value delivery.
December 2024
November 2024
27 Commits • 14 Features
Nov 1, 2024November 2024 focused on delivering robust simulation features, stabilizing core data paths, and expanding test coverage to reduce runtime risk. Key feature work spanned rendering, material models, and interpolation, while critical bugs were resolved to improve reliability and user-facing correctness. The month also emphasized code quality, refactoring, and maintenance to support scalable future work.
November 2024
27 Commits • 14 Features
Nov 1, 2024November 2024 focused on delivering robust simulation features, stabilizing core data paths, and expanding test coverage to reduce runtime risk. Key feature work spanned rendering, material models, and interpolation, while critical bugs were resolved to improve reliability and user-facing correctness. The month also emphasized code quality, refactoring, and maintenance to support scalable future work.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for SwanLab/Swan focusing on CPV expansion to enable per-volume calculations with extensive data generation and storage. The work includes updating CantileverPer1d5_Eps4_Nu85.vtu with added data points and establishing the CPV problem groundwork.
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for SwanLab/Swan focusing on CPV expansion to enable per-volume calculations with extensive data generation and storage. The work includes updating CantileverPer1d5_Eps4_Nu85.vtu with added data points and establishing the CPV problem groundwork.
October 2024
Activity
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Quality Metrics
Correctness84.2%
Maintainability83.8%
Architecture81.0%
Performance72.8%
AI Usage20.2%
Skills & Technologies
Programming Languages
MATLABObjective-CTCLVTKXML
Technical Skills
Algorithm DevelopmentAlgorithm ImplementationAlgorithm ImprovementBoundary ConditionsBug FixBug FixingClass DesignClass RefactoringClass RenamingCode DocumentationCode MaintenanceCode OptimizationCode OrganizationCode RefactoringComputational Geometry
Repositories Contributed To
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