idaholab/moose
Nov 2024 – Apr 2026
11 Months active
Languages Used
C++MarkdownN/AINI
Technical Skills
Action HandlingC++Finite Element Method (FEM)Mesh ProcessingParallel ComputingSoftware Design
Yaqi Wang
PROFILE
Yaqi Wang
Over 11 months, contributed to the idaholab/moose repository by developing and refining advanced mesh generation, material modeling, and simulation workflows. Leveraging C++ and numerical methods, delivered features such as configurable mesh block handling, robust depletion ID generation, and rotation-based material evaluation. Enhanced distributed systems support and parallel computing reliability by improving thread safety and mesh synchronization for high-fidelity simulations. Refactored core components for maintainability, expanded test coverage, and improved documentation to support long-term code quality. Integrated new eigenvalue problem solvers and parameter-driven modeling capabilities, enabling more flexible and accurate simulations while reducing manual intervention and operational risk.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
34Total
Bugs
6
Commits
34
Features
21
Lines of code
4,418
Activity Months11
Your Network
204 peopleSame Organization
@inl.gov58
Bradley HuddlestonMember
BrettMember
Derek VranesMember
Butterworth, EvanMember
Gabriel J. SotoMember
Jason M MillerMember
Joseph CoronaVazquezMember
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146
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Alex LindsayMember
Andreas Henrik FrederiksenMember
WilkAndyMember
Aaron OaksMember
Work History
April 2026
2 Commits • 2 Features
Apr 1, 2026For 2026-04, two major features were delivered in idaholab/moose, focusing on improving numerical robustness and expanding material modeling capabilities. The EigenProblemSolve class was refactored to improve clarity and correctness in eigenvalue problem solving, with adjusted parameter handling and initialization to ensure better integration with SLEPc and enhanced functionality. A new material, ControlDrumMaterial, enables rotation-based evaluation of material properties, supporting more complex material simulations. A minor cleanup commit followed the refactor to improve maintainability. No explicit bug fixes are documented this month; the work emphasizes stability, reliability, and extensibility of eigenproblem solving and material evaluation. Technologies and skills demonstrated include C++, object-oriented refactoring, SLEPc integration, and modular design, with a focus on business value through more accurate simulations and easier future maintenance.
2 Commits • 2 Features
Apr 1, 2026For 2026-04, two major features were delivered in idaholab/moose, focusing on improving numerical robustness and expanding material modeling capabilities. The EigenProblemSolve class was refactored to improve clarity and correctness in eigenvalue problem solving, with adjusted parameter handling and initialization to ensure better integration with SLEPc and enhanced functionality. A new material, ControlDrumMaterial, enables rotation-based evaluation of material properties, supporting more complex material simulations. A minor cleanup commit followed the refactor to improve maintainability. No explicit bug fixes are documented this month; the work emphasizes stability, reliability, and extensibility of eigenproblem solving and material evaluation. Technologies and skills demonstrated include C++, object-oriented refactoring, SLEPc integration, and modular design, with a focus on business value through more accurate simulations and easier future maintenance.
April 2026
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026: Delivered two high-impact features for idaholab/moose, strengthening modeling flexibility and numerical capability while improving code quality and maintainability. Implemented a new parameter-based approach to layered object definitions and enhanced eigenproblem support, with strong validation and test coverage. These changes reduce modeling friction, enable more accurate simulations, and lay groundwork for future extensions.
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026: Delivered two high-impact features for idaholab/moose, strengthening modeling flexibility and numerical capability while improving code quality and maintainability. Implemented a new parameter-based approach to layered object definitions and enhanced eigenproblem support, with strong validation and test coverage. These changes reduce modeling friction, enable more accurate simulations, and lay groundwork for future extensions.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025: Focused on reliability and user configurability in vector material properties handling within idaholab/moose. Delivered a targeted bug fix for large vector properties and introduced API configurability to control warning display, supported by added tests and regression coverage.
3 Commits • 1 Features
Nov 1, 2025November 2025: Focused on reliability and user configurability in vector material properties handling within idaholab/moose. Delivered a targeted bug fix for large vector properties and introduced API configurability to control warning display, supported by added tests and regression coverage.
November 2025
October 2025
1 Commits
Oct 1, 2025October 2025: Consolidated robustness in ElementGroupCentroidPositions for idaholab/moose. Implemented robust exclusion of invalid EEIDs during position generation and aligned EEID handling with dof_id_type. Fixed correctness by ensuring invalid IDs are excluded from the valid IDs collection used for grouping. This work reduces downstream errors in centroid calculations and improves data integrity.
October 2025
1 Commits
Oct 1, 2025October 2025: Consolidated robustness in ElementGroupCentroidPositions for idaholab/moose. Implemented robust exclusion of invalid EEIDs during position generation and aligned EEID handling with dof_id_type. Fixed correctness by ensuring invalid IDs are excluded from the valid IDs collection used for grouping. This work reduces downstream errors in centroid calculations and improves data integrity.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Implemented exclusion capability for node-set generation in the mesh generator to improve modeling accuracy across multi-subdomain simulations. Added a new 'excluded_subdomains' parameter to the ParsedGenerateNodeset mesh generator with exclusion logic for specified subdomain IDs and a dedicated test to validate the feature. The changes enhance mesh customization, reduce manual post-processing, and support more precise subdomain-specific workflows. The work strengthens upfront mesh fidelity and accelerates iteration for multi-domain models. Technologies demonstrated include C++ development, automated testing, and MoOS E build/test pipelines.
1 Commits • 1 Features
Aug 1, 2025Monthly summary for 2025-08: Implemented exclusion capability for node-set generation in the mesh generator to improve modeling accuracy across multi-subdomain simulations. Added a new 'excluded_subdomains' parameter to the ParsedGenerateNodeset mesh generator with exclusion logic for specified subdomain IDs and a dedicated test to validate the feature. The changes enhance mesh customization, reduce manual post-processing, and support more precise subdomain-specific workflows. The work strengthens upfront mesh fidelity and accelerates iteration for multi-domain models. Technologies demonstrated include C++ development, automated testing, and MoOS E build/test pipelines.
August 2025
July 2025
8 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for idaholab/moose. Focused on improving distributed mesh robustness, API usability, and documentation. Delivered several features enabling scalable distributed simulations, enhanced element ID management, and improved postprocessing ergonomics. These efforts reduce race conditions in multi-process runs, improve centroid computations on distributed meshes, and provide more flexible configuration options for users.
July 2025
8 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for idaholab/moose. Focused on improving distributed mesh robustness, API usability, and documentation. Delivered several features enabling scalable distributed simulations, enhanced element ID management, and improved postprocessing ergonomics. These efforts reduce race conditions in multi-process runs, improve centroid computations on distributed meshes, and provide more flexible configuration options for users.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for idaholab/moose. Focused on delivering robust enhancements to depletion workflows and displaced mesh handling, with attention to data integrity, maintainability, and developer productivity. No explicit major bug fixes reported this month; efforts centered on feature deliveries and architectural refinements that streamline workflows and reduce manual intervention.
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for idaholab/moose. Focused on delivering robust enhancements to depletion workflows and displaced mesh handling, with attention to data integrity, maintainability, and developer productivity. No explicit major bug fixes reported this month; efforts centered on feature deliveries and architectural refinements that streamline workflows and reduce manual intervention.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for idaholab/moose focusing on reliability improvements and documentation quality in the subchannel verification workflow. Delivered targeted documentation enhancements for path-based links and strengthened non-convergence handling to ensure deterministic exit behavior, complemented by test and execution-path refactors.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for idaholab/moose focusing on reliability improvements and documentation quality in the subchannel verification workflow. Delivered targeted documentation enhancements for path-based links and strengthened non-convergence handling to ensure deterministic exit behavior, complemented by test and execution-path refactors.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for idaholab/moose. Focused on strengthening restart workflows and mesh robustness to support longer HPC runs and reduce operational risk in high-fidelity simulations.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for idaholab/moose. Focused on strengthening restart workflows and mesh robustness to support longer HPC runs and reduce operational risk in high-fidelity simulations.
March 2025
February 2025
5 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for idaholab/moose highlighting key feature work and impact.
February 2025
5 Commits • 4 Features
Feb 1, 2025February 2025 monthly summary for idaholab/moose highlighting key feature work and impact.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 summary for idaholab/moose: Delivered targeted enhancements to improve flexibility, accuracy, and reliability in the Exodus output pipeline and mesh handling. Implemented configurable suppression of warnings for unsupported MaterialOutputAction properties, enabling derived classes to override properties without silencing all warnings. Refactored lower-dimensional mesh block handling by splitting blocks by side type (interior vs. boundary) to improve Exodus output fidelity and block naming, and added missing communications for interior and boundary lower-d blocks to ensure MooseMesh caching consistency.
3 Commits • 2 Features
Nov 1, 2024November 2024 summary for idaholab/moose: Delivered targeted enhancements to improve flexibility, accuracy, and reliability in the Exodus output pipeline and mesh handling. Implemented configurable suppression of warnings for unsupported MaterialOutputAction properties, enabling derived classes to override properties without silencing all warnings. Refactored lower-dimensional mesh block handling by splitting blocks by side type (interior vs. boundary) to improve Exodus output fidelity and block naming, and added missing communications for interior and boundary lower-d blocks to ensure MooseMesh caching consistency.
November 2024
Activity
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Quality Metrics
Correctness90.8%
Maintainability86.4%
Architecture85.8%
Performance79.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
C++INIMarkdownN/A
Technical Skills
Action HandlingBug FixC++C++ DevelopmentC++ developmentCode OrganizationCode RefactoringDebuggingDistributed SystemsDocumentationEigenvalue ProblemsError HandlingFinite Element MethodFinite Element Method (FEM)Interface Design
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