BattMoTeam/BattMo.jl
Mar 2025 – Jun 2025
4 Months active
Languages Used
Julia
Technical Skills
API DevelopmentData ReformattingSimulation Data AnalysisAPI DesignData ExtractionData Processing
Francesca Watson
PROFILE
Francesca Watson
Francesca Watson developed robust data access and processing capabilities for the BattMoTeam/BattMo.jl repository, focusing on improving simulation output workflows and spatial data handling. She designed and implemented new APIs in Julia to streamline extraction and reformatting of time series and spatial data, enabling more efficient downstream analytics and visualization. Her work included refactoring core modules for maintainability, introducing unified interfaces for multi-model centroid mapping, and fixing output formatting bugs to ensure data integrity. By enhancing code organization and adding visualization examples, Francesca improved reproducibility and accelerated analysis, demonstrating depth in backend development, scientific computing, and data visualization techniques.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
5
Lines of code
742
Activity Months4
Your Network
30 people
Work History
June 2025
1 Commits
Jun 1, 2025In June 2025, focused on stabilizing spatial data output handling in BattMo.jl and enabling visualization enhancements to improve data interpretation and downstream analysis. The work reduced edge-case errors, improved reproducibility, and provided clearer data insights for stakeholders and downstream pipelines.
1 Commits
Jun 1, 2025In June 2025, focused on stabilizing spatial data output handling in BattMo.jl and enabling visualization enhancements to improve data interpretation and downstream analysis. The work reduced edge-case errors, improved reproducibility, and provided clearer data insights for stakeholders and downstream pipelines.
June 2025
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 BattMo.jl monthly summary: Focused on delivering business value through robust multi-model data capabilities, codebase modernization, and data integrity fixes. Delivered multi-model centroid support and enhanced access to output/state data, with a controlled reversion of CycleNumber removal in time-series data. Completed a codebase refactor renaming the output handling module to output_format.jl and updated include paths for improved organization and onboarding. Fixed metadata typos to ensure correct electrochemical potential references. These changes improve data fidelity, scalability, and developer productivity, enabling more accurate modeling and faster iteration for battery simulations and analyses.
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 BattMo.jl monthly summary: Focused on delivering business value through robust multi-model data capabilities, codebase modernization, and data integrity fixes. Delivered multi-model centroid support and enhanced access to output/state data, with a controlled reversion of CycleNumber removal in time-series data. Completed a codebase refactor renaming the output handling module to output_format.jl and updated include paths for improved organization and onboarding. Fixed metadata typos to ensure correct electrochemical potential references. These changes improve data fidelity, scalability, and developer productivity, enabling more accurate modeling and faster iteration for battery simulations and analyses.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 (BattMo.jl) - Key features delivered: - Unified Simulation Output Interface: introduced get_simple_output to consolidate data extraction into a single, structured output; refactored related functions for clarity and reusability. Commit: 54e9a973c722851f1203979ead94fe29f4c7c230. - Multi-model Centroid Extraction and Mapping: added get_multimodel_centroids to extract and map cell centroids across sub-models, consolidate coordinates, identify unique centroids, and create mapping dictionaries linking original cell indices to the new grid for streamlined spatial analysis. Commit: 653c93cd913083e1505151766fe7dfc76180a4d3. - Code quality improvements: refactors to improve API clarity and reusability across output utilities. Major bugs fixed: - No major bugs reported this month; stability-focused tweaks and preventives implemented. Overall impact and accomplishments: - Accelerated access to simulation results and enabled streamlined downstream analytics and visualization. - Enabled cross-model spatial analyses through centralized centroid extraction and robust coordinate mapping. Technologies/skills demonstrated: - Julia, API design for outputs, data mapping structures for coordinates, and refactoring for maintainability and readability. Business value: - Reduced time to derive actionable insights from simulations and improved reliability of cross-model spatial analyses.
2 Commits • 2 Features
Apr 1, 2025April 2025 (BattMo.jl) - Key features delivered: - Unified Simulation Output Interface: introduced get_simple_output to consolidate data extraction into a single, structured output; refactored related functions for clarity and reusability. Commit: 54e9a973c722851f1203979ead94fe29f4c7c230. - Multi-model Centroid Extraction and Mapping: added get_multimodel_centroids to extract and map cell centroids across sub-models, consolidate coordinates, identify unique centroids, and create mapping dictionaries linking original cell indices to the new grid for streamlined spatial analysis. Commit: 653c93cd913083e1505151766fe7dfc76180a4d3. - Code quality improvements: refactors to improve API clarity and reusability across output utilities. Major bugs fixed: - No major bugs reported this month; stability-focused tweaks and preventives implemented. Overall impact and accomplishments: - Accelerated access to simulation results and enabled streamlined downstream analytics and visualization. - Enabled cross-model spatial analyses through centralized centroid extraction and robust coordinate mapping. Technologies/skills demonstrated: - Julia, API design for outputs, data mapping structures for coordinates, and refactoring for maintainability and readability. Business value: - Reduced time to derive actionable insights from simulations and improved reliability of cross-model spatial analyses.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 BattMo.jl monthly summary focused on delivering data accessibility improvements via a new API surface. Key features delivered include the BattMo.jl Data Access API implemented as simple_api.jl to reformat output data and extract time series data (time, voltage, current) and spatial coordinates (cell and boundary centroids) from simulation models. Major bugs fixed: none reported this month. Overall impact: reduces data wrangling for users, accelerates downstream analytics, and establishes a strong foundation for analytics pipelines and performance-oriented enhancements. Technologies and skills demonstrated: Julia module design, API surface design, data access patterns, and version-controlled development. Technologies/skills demonstrated include data access tooling, and initial commit practices to enable iterative improvement.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 BattMo.jl monthly summary focused on delivering data accessibility improvements via a new API surface. Key features delivered include the BattMo.jl Data Access API implemented as simple_api.jl to reformat output data and extract time series data (time, voltage, current) and spatial coordinates (cell and boundary centroids) from simulation models. Major bugs fixed: none reported this month. Overall impact: reduces data wrangling for users, accelerates downstream analytics, and establishes a strong foundation for analytics pipelines and performance-oriented enhancements. Technologies and skills demonstrated: Julia module design, API surface design, data access patterns, and version-controlled development. Technologies/skills demonstrated include data access tooling, and initial commit practices to enable iterative improvement.
Activity
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Quality Metrics
Correctness82.6%
Maintainability82.6%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentBug FixCode OrganizationCode RefactoringData ExtractionData ProcessingData ReformattingData VisualizationFull Stack DevelopmentJulia ProgrammingMulti-physics SimulationPlottingRefactoring
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