ReactionMechanismGenerator/RMG-database
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Chemical EngineeringChemical KineticsComputational ChemistryDatabase ManagementThermodynamics
Bjarne Kreitz
PROFILE
Bjarne Kreitz
Worked on the ReactionMechanismGenerator/RMG-database repository to deliver a feature refining Pt111 adsorption data handling for catalysis modeling. Focused on improving data quality and reproducibility, the work involved updating species definitions to include px, modifying the OROR group, and adjusting pressure-dependent parameters for Pt111 adsorption sites. Implemented these changes through targeted updates to site-pattern definitions, ensuring consistent propagation of px across relevant species. Leveraged expertise in chemical engineering, computational chemistry, and Python to enhance data consistency and parameterization, supporting more reliable catalyst screening and kinetic modeling within the RMG ecosystem. No bug fixes were recorded during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
8
Activity Months1
Your Network
55 peopleShared Repositories
10
Work History
December 2024
5 Commits • 1 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on the ReactionMechanismGenerator/RMG-database: Pt111 adsorption data refinement feature delivered, with data handling improvements and parameterization updates. Work emphasized data quality, reproducibility, and alignment with adsorption site definitions to support more accurate catalysis modeling.
5 Commits • 1 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on the ReactionMechanismGenerator/RMG-database: Pt111 adsorption data refinement feature delivered, with data handling improvements and parameterization updates. Work emphasized data quality, reproducibility, and alignment with adsorption site definitions to support more accurate catalysis modeling.
December 2024
Activity
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Quality Metrics
Correctness88.0%
Maintainability92.0%
Architecture88.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Chemical EngineeringChemical KineticsComputational ChemistryDatabase ManagementThermodynamics
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