SCM-NV/PLAMS
Jan 2025 – May 2025
4 Months active
Languages Used
PythonRSTreStructuredText
Technical Skills
Bug FixCode RefactoringComputational ChemistryData AnalysisData HandlingData Parsing
Wei-Lin Chen
PROFILE
Wei-lin Chen
Worked on the SCM-NV/PLAMS repository to enhance computational chemistry workflows by building robust support for COSKF file parsing, hydrogen bond center calculations, and solubility analysis pipelines. Leveraged Python and scientific computing libraries to implement new data ingestion methods, interactive plotting with Matplotlib, and reliable data propagation for COSMO-RS and COSMO-SAC models. Improved code quality through refactoring, type hinting, and expanded unit testing, while addressing bugs in data generation and workflow reliability. Focused on API consistency, documentation, and user-facing enhancements, enabling reproducible research and streamlined integration with IPython environments for interactive data analysis and visualization in chemical modeling.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
26Total
Bugs
1
Commits
26
Features
7
Lines of code
948
Activity Months4
Your Network
28 peopleSame Organization
@scm.com13
Nestor AguirreMember
Giulio BenediniMember
Rosa BuloMember
CuadradoBenaventMember
Franco EgidiMember
Mirko FranchiniMember
Matti HellströmMember
David Ormrod MorleyMember
Pier PhilipsenMember
Shared Repositories
15
Nestor AguirreMember
Giulio BenediniMember
Rosa BuloMember
CuadradoBenaventMember
Franco EgidiMember
Mirko FranchiniMember
Matti HellströmMember
Nestor AguirreMember
David Ormrod MorleyMember
Work History
May 2025
1 Commits
May 1, 2025May 2025 monthly summary for SCM-NV/PLAMS: Focused on delivering more reliable COSMO-SAC data generation within the PLAMS wrapper used by pyCRS examples. Implemented a bug fix to correct the parameter name in ADFCOSMORSCompoundJob, resulting in more accurate solubility calculations and reduced downstream debugging. This work enhances the reliability of COSMO-SAC DHB-MESP data used in solubility workflows and improves overall model fidelity.
1 Commits
May 1, 2025May 2025 monthly summary for SCM-NV/PLAMS: Focused on delivering more reliable COSMO-SAC data generation within the PLAMS wrapper used by pyCRS examples. Implemented a bug fix to correct the parameter name in ADFCOSMORSCompoundJob, resulting in more accurate solubility calculations and reduced downstream debugging. This work enhances the reliability of COSMO-SAC DHB-MESP data used in solubility workflows and improves overall model fidelity.
May 2025
March 2025
8 Commits • 3 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on SCM-NV/PLAMS. This period delivered user-facing enhancements in CRS plotting, expanded reporting metrics, and improved documentation and API consistency to boost usability, reliability, and maintainability. The work emphasized business value by enabling faster, more reliable COSMO-RS workflows and clearer API usage for external integrations.
March 2025
8 Commits • 3 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on SCM-NV/PLAMS. This period delivered user-facing enhancements in CRS plotting, expanded reporting metrics, and improved documentation and API consistency to boost usability, reliability, and maintainability. The work emphasized business value by enabling faster, more reliable COSMO-RS workflows and clearer API usage for external integrations.
February 2025
12 Commits • 2 Features
Feb 1, 2025February 2025 (2025-02) focused on delivering robust HBC analysis capabilities in PLAMS and expanding solubility workflow demonstrations, while improving reliability, code quality, and docs. Key outcomes include integration of hydrogen bond center (HBC) calculation via Densf into ADFCOSMORSCompoundJob, data propagation into COSKF conversion, and a new HBC utilities module. These changes, together with prerun/workflow hardening, reduce failed runs and provide researchers with reproducible HBC outputs. In parallel, a practical solubility workflow demonstration was added via ams_pyCRS.py, showcasing pyCRS/COSKFDatabase/CRSSystem usage with densf2hbc, accompanied by formatting and documentation updates. Several bug fixes and code quality improvements were completed to stabilize the tooling and improve developer experience.
12 Commits • 2 Features
Feb 1, 2025February 2025 (2025-02) focused on delivering robust HBC analysis capabilities in PLAMS and expanding solubility workflow demonstrations, while improving reliability, code quality, and docs. Key outcomes include integration of hydrogen bond center (HBC) calculation via Densf into ADFCOSMORSCompoundJob, data propagation into COSKF conversion, and a new HBC utilities module. These changes, together with prerun/workflow hardening, reduce failed runs and provide researchers with reproducible HBC outputs. In parallel, a practical solubility workflow demonstration was added via ams_pyCRS.py, showcasing pyCRS/COSKFDatabase/CRSSystem usage with densf2hbc, accompanied by formatting and documentation updates. Several bug fixes and code quality improvements were completed to stabilize the tooling and improve developer experience.
February 2025
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 (SCM-NV/PLAMS): Delivered COSKF file support and molecule parsing, and integrated Densf-based hydrogen bond center (HBC) calculations into the COSKF workflow. These enhancements broaden data ingestion capabilities, improve HBC modeling, and strengthen end-to-end molecule data pipelines. Unit tests and type-safety improvements increased reliability for downstream analyses.
January 2025
5 Commits • 2 Features
Jan 1, 2025January 2025 (SCM-NV/PLAMS): Delivered COSKF file support and molecule parsing, and integrated Densf-based hydrogen bond center (HBC) calculations into the COSKF workflow. These enhancements broaden data ingestion capabilities, improve HBC modeling, and strengthen end-to-end molecule data pipelines. Unit tests and type-safety improvements increased reliability for downstream analyses.
Activity
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Quality Metrics
Correctness91.6%
Maintainability91.6%
Architecture87.8%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonRSTreStructuredText
Technical Skills
API ConsistencyBug FixBug FixingCode FormattingCode RefactoringCode ReversionComputational ChemistryData AnalysisData FormattingData HandlingData ModelingData ParsingData ProcessingData VisualizationDebugging
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