idaholab/moose
Feb 2025 – Aug 2025
5 Months active
Languages Used
C++InputBibTeXMarkdown
Technical Skills
C++ DevelopmentMaterial ScienceMaterial Science SimulationNumerical MethodsPhase Field ModelingFinite Element Analysis
Larry Aagesen
PROFILE
Larry Aagesen
Larry Aagesen developed advanced material diffusion and phase-field modeling capabilities in the idaholab/moose repository, focusing on polycrystalline and sintering simulations. He implemented anisotropic diffusion kernels and enhanced gradient-dependent behavior by introducing Jacobian support for grain order parameter gradients in both 2D and 3D. Using C++ and leveraging finite element methods, Larry refactored core diffusion modules for clarity, added robust safety checks, and expanded tensor calculus support. His work included updating test baselines, improving documentation, and integrating new features into the Grand Potential workflow, resulting in more accurate, maintainable, and reliable simulations for complex material science applications.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
18Total
Bugs
3
Commits
18
Features
5
Lines of code
1,014
Activity Months5
Your Network
156 people
Work History
August 2025
4 Commits • 1 Features
Aug 1, 2025August 2025 performance summary for idaholab/moose: Delivered anisotropic diffusion support for polycrystal materials within the Grand Potential workflow, including a new kernel suite and integration points, complemented by documentation and cleanup. This work advances material diffusion modeling fidelity for polycrystalline systems and demonstrates solid design, integration, and maintenance practices.
4 Commits • 1 Features
Aug 1, 2025August 2025 performance summary for idaholab/moose: Delivered anisotropic diffusion support for polycrystal materials within the Grand Potential workflow, including a new kernel suite and integration points, complemented by documentation and cleanup. This work advances material diffusion modeling fidelity for polycrystalline systems and demonstrates solid design, integration, and maintenance practices.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 highlights the delivery of critical physics enhancements to the Grain Order Parameter (OP) gradient handling within the MOOSE diffusion kernel and phase_field materials. The work delivers accurate gradient-dependent behavior in simulations by implementing Jacobian support for grain OP gradients in 2D and extending it to 3D. Kernel-level integration with configurable OP gradient handling was added to improve model fidelity, and an autobuild for grain OP parameters was introduced to strengthen CI reliability. These changes enable more accurate microstructure simulations, reduce manual configuration overhead, and lay the groundwork for more robust, production-grade material modeling.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 highlights the delivery of critical physics enhancements to the Grain Order Parameter (OP) gradient handling within the MOOSE diffusion kernel and phase_field materials. The work delivers accurate gradient-dependent behavior in simulations by implementing Jacobian support for grain OP gradients in 2D and extending it to 3D. Kernel-level integration with configurable OP gradient handling was added to improve model fidelity, and an autobuild for grain OP parameters was introduced to strengthen CI reliability. These changes enable more accurate microstructure simulations, reduce manual configuration overhead, and lay the groundwork for more robust, production-grade material modeling.
May 2025
6 Commits • 1 Features
May 1, 2025May 2025 performance summary for idaholab/moose: Enhanced diffusion modelling capabilities and code safety. Implemented 2D diffusion derivative calculations with tensor support, extended to 3D gradient handling, and refactored MatDiffusionBase for clarity. Added robust safety fixes for derivative material interfaces and division-by-zero protection in diffusivity calculations. These changes expand modeling capabilities, improve numerical stability, and strengthen maintainability, delivering tangible business value in simulation accuracy and code robustness.
6 Commits • 1 Features
May 1, 2025May 2025 performance summary for idaholab/moose: Enhanced diffusion modelling capabilities and code safety. Implemented 2D diffusion derivative calculations with tensor support, extended to 3D gradient handling, and refactored MatDiffusionBase for clarity. Added robust safety fixes for derivative material interfaces and division-by-zero protection in diffusivity calculations. These changes expand modeling capabilities, improve numerical stability, and strengthen maintainability, delivering tangible business value in simulation accuracy and code robustness.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for idaholab/moose. Key features delivered: implemented derivative calculations in GrandPotentialSinteringMaterial enabling gradients and second-order derivatives with respect to phase-field variables for enhanced sintering simulations. Major bugs fixed: updated gold standard outputs for sintering model tests in GrandPotentialPFM to reflect updated results and corrections, ensuring tests compare against correct baselines. Overall impact: improved fidelity of sintering simulations, more reliable CI validation, and stronger support for gradient-based optimization in phase-field models. Technologies/skills demonstrated: C++ development in MOOSE, numerical derivatives, test baselining, Git/version control, issue tracking (Closes #30236).
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for idaholab/moose. Key features delivered: implemented derivative calculations in GrandPotentialSinteringMaterial enabling gradients and second-order derivatives with respect to phase-field variables for enhanced sintering simulations. Major bugs fixed: updated gold standard outputs for sintering model tests in GrandPotentialPFM to reflect updated results and corrections, ensuring tests compare against correct baselines. Overall impact: improved fidelity of sintering simulations, more reliable CI validation, and stronger support for gradient-based optimization in phase-field models. Technologies/skills demonstrated: C++ development in MOOSE, numerical derivatives, test baselining, Git/version control, issue tracking (Closes #30236).
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered phase-field diffusivity derivative enhancements and a Dgb derivative fix, with corresponding tests and code cleanup. Key items: (1) derivatives of D with respect to order parameters and d(chi*D)/deta; tests updated; SinteringBase.i regenerated. (2) Dgb derivative calculation corrected (multiplier 4.0 -> 2.0) and Dsurf cleanup; Closes #29963. Impact: improved numerical accuracy and reliability of phase-field simulations, expanded test coverage, and simplified maintenance. Technologies: C/C++/Fortran code, unit/regression tests, and git version control.
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered phase-field diffusivity derivative enhancements and a Dgb derivative fix, with corresponding tests and code cleanup. Key items: (1) derivatives of D with respect to order parameters and d(chi*D)/deta; tests updated; SinteringBase.i regenerated. (2) Dgb derivative calculation corrected (multiplier 4.0 -> 2.0) and Dsurf cleanup; Closes #29963. Impact: improved numerical accuracy and reliability of phase-field simulations, expanded test coverage, and simplified maintenance. Technologies: C/C++/Fortran code, unit/regression tests, and git version control.
February 2025
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Quality Metrics
Correctness90.0%
Maintainability91.0%
Architecture88.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BibTeXC++InputMarkdown
Technical Skills
C++C++ DevelopmentCode RefactoringCode ReviewDocumentationFinite Element AnalysisFinite Element MethodFull Stack DevelopmentKernel DevelopmentMaterial ModelingMaterial Property DefinitionMaterial ScienceMaterial Science SimulationNumerical MethodsObject-Oriented Programming
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