
Over a 13-month period, Bulo contributed to the SCM-NV/PLAMS repository by developing and refining features for computational chemistry workflows. He implemented robust molecule and reaction visualization tools, enhanced trajectory and file I/O reliability, and improved chemical reaction balancing with comprehensive testing. Using Python, Jupyter Notebook, and RDKit, Bulo focused on code quality through static typing, refactoring, and test-driven development. His work addressed edge-case handling, data integrity, and error reporting, resulting in more maintainable and reliable pipelines. By integrating new APIs and improving documentation, Bulo enabled smoother onboarding, reproducible analyses, and streamlined scientific computing for chemistry and molecular modeling.
February 2026 focused on improving data integrity for trajectory handling in the SCM-NV/PLAMS repository. A critical bug fix addressed redundant header writes in RKFTrajectoryFile when the trajectory position is zero, ensuring headers are written only once and preventing potential data corruption. This work stabilizes Molecule section handling and reduces downstream risk in trajectory analysis.
February 2026 focused on improving data integrity for trajectory handling in the SCM-NV/PLAMS repository. A critical bug fix addressed redundant header writes in RKFTrajectoryFile when the trajectory position is zero, ensuring headers are written only once and preventing potential data corruption. This work stabilizes Molecule section handling and reduces downstream risk in trajectory analysis.
Concise monthly summary for 2026-01 focusing on business value and technical achievements. Highlights a targeted bug fix improving AMS input handling within PLAMS (SCM-NV/PLAMS), with preparations for future libbase.InputFile changes.
Concise monthly summary for 2026-01 focusing on business value and technical achievements. Highlights a targeted bug fix improving AMS input handling within PLAMS (SCM-NV/PLAMS), with preparations for future libbase.InputFile changes.
December 2025 monthly summary for SCM-NV/PLAMS focusing on reliability, test infrastructure, and code quality: Key features delivered: - AMS-aware test infrastructure: tests run only when AMS is available; added a lightweight test debug print to trace temporary filenames (improves maintainability and reduces flaky test runs). - Changelog readability improvement: improved readability by adding punctuation. Major bugs fixed: - RKF/RKFTrajectory: Property handling and block value writing fixes. Corrected interpretation of properties stored as lists versus block items in RKFHistoryFile and RKFTrajectoryFile; fixed writing of block values in RKFTrajectory; added tests to validate property reading and block handling. Commits include 73b18f2ce68357a2c8b680c7f716612083143240 and c1e9ce0b50c3bd835bf36559110fbfb08bc1b284. Overall impact and accomplishments: - Improved correctness and reliability of file IO for RKFHistoryFile and RKFTrajectoryFile, reducing misinterpretation of list-based properties and ensuring proper block serialization. - Enhanced test coverage and stability in AMS-less environments, lowering regression risk and facilitating faster future changes. - Better readability in release notes (Changelog) contributing to clearer documentation for stakeholders. Technologies/skills demonstrated: - Test-driven development (adding tests for property handling and AMS presence) - Conditional test execution based on environment (AMS) - File IO correctness for RKFHistoryFile and RKFTrajectoryFile - Commit-driven change traceability and documentation improvements.
December 2025 monthly summary for SCM-NV/PLAMS focusing on reliability, test infrastructure, and code quality: Key features delivered: - AMS-aware test infrastructure: tests run only when AMS is available; added a lightweight test debug print to trace temporary filenames (improves maintainability and reduces flaky test runs). - Changelog readability improvement: improved readability by adding punctuation. Major bugs fixed: - RKF/RKFTrajectory: Property handling and block value writing fixes. Corrected interpretation of properties stored as lists versus block items in RKFHistoryFile and RKFTrajectoryFile; fixed writing of block values in RKFTrajectory; added tests to validate property reading and block handling. Commits include 73b18f2ce68357a2c8b680c7f716612083143240 and c1e9ce0b50c3bd835bf36559110fbfb08bc1b284. Overall impact and accomplishments: - Improved correctness and reliability of file IO for RKFHistoryFile and RKFTrajectoryFile, reducing misinterpretation of list-based properties and ensuring proper block serialization. - Enhanced test coverage and stability in AMS-less environments, lowering regression risk and facilitating faster future changes. - Better readability in release notes (Changelog) contributing to clearer documentation for stakeholders. Technologies/skills demonstrated: - Test-driven development (adding tests for property handling and AMS presence) - Conditional test execution based on environment (AMS) - File IO correctness for RKFHistoryFile and RKFTrajectoryFile - Commit-driven change traceability and documentation improvements.
November 2025 — Delivered targeted stability, data integrity, and usability improvements for SCM-NV/PLAMS. Key enhancements include: (1) Enhanced trajectory data handling and clearer error reporting, fixing 2D lattice writing in XYZTrajectory and clarifying errors in ReactionEquation when no nullspace vectors exist; (2) Robustness improvement for simple-graph processing with Molecule.reorder by ensuring self-edges carry identifying node data to prevent failures; (3) Strengthened reliability with a unit test covering an incorrect equation to return a clear error string instead of crashing; (4) Improved developer experience by converting the ReactionEquation balancing example to a Jupyter notebook for better accessibility and interactivity; (5) CI/quality improvement by fixing notebook formatting to be Black-compatible. Overall, these changes improve data integrity, user experience, error resilience, and maintainability, enabling smoother workflows for users and faster diagnostics for developers.
November 2025 — Delivered targeted stability, data integrity, and usability improvements for SCM-NV/PLAMS. Key enhancements include: (1) Enhanced trajectory data handling and clearer error reporting, fixing 2D lattice writing in XYZTrajectory and clarifying errors in ReactionEquation when no nullspace vectors exist; (2) Robustness improvement for simple-graph processing with Molecule.reorder by ensuring self-edges carry identifying node data to prevent failures; (3) Strengthened reliability with a unit test covering an incorrect equation to return a clear error string instead of crashing; (4) Improved developer experience by converting the ReactionEquation balancing example to a Jupyter notebook for better accessibility and interactivity; (5) CI/quality improvement by fixing notebook formatting to be Black-compatible. Overall, these changes improve data integrity, user experience, error resilience, and maintainability, enabling smoother workflows for users and faster diagnostics for developers.
October 2025 SCM-NV/PLAMS monthly summary: Focused on advancing data interoperability and code robustness. Delivered trajectory IO enhancements enabling reading/writing SCM lattice information in SDF and XYZ formats, standardized scmlib.KFFile usage for RKF trajectory files, made the filename argument optional in trajectory file initializations, and ensured correct behavior for binary file modes. Implemented error handling improvements for ReactionEquation by replacing asserts with domain-specific exceptions, increasing robustness and clarity. Cleaned up test data by removing water_box_traj.xyz and switching to conformers.rkf, reducing redundancy and speeding up tests. These changes improve reliability of trajectory processing, make error diagnostics more actionable, and streamline the test suite.
October 2025 SCM-NV/PLAMS monthly summary: Focused on advancing data interoperability and code robustness. Delivered trajectory IO enhancements enabling reading/writing SCM lattice information in SDF and XYZ formats, standardized scmlib.KFFile usage for RKF trajectory files, made the filename argument optional in trajectory file initializations, and ensured correct behavior for binary file modes. Implemented error handling improvements for ReactionEquation by replacing asserts with domain-specific exceptions, increasing robustness and clarity. Cleaned up test data by removing water_box_traj.xyz and switching to conformers.rkf, reducing redundancy and speeding up tests. These changes improve reliability of trajectory processing, make error diagnostics more actionable, and streamline the test suite.
August 2025 (2025-08) monthly performance summary for SCM-NV/PLAMS. Focused on correctness, reliability, and expanding capabilities. Key work included improving ReactionEquation for charged species balancing with comprehensive tests and a new reaction charge property; fixes to test imports and documentation formatting; and introducing Pillow for image processing to support richer visuals in docs. Result: more reliable chemical balancing, expanded test coverage, higher code quality, and groundwork for image-based features.
August 2025 (2025-08) monthly performance summary for SCM-NV/PLAMS. Focused on correctness, reliability, and expanding capabilities. Key work included improving ReactionEquation for charged species balancing with comprehensive tests and a new reaction charge property; fixes to test imports and documentation formatting; and introducing Pillow for image processing to support richer visuals in docs. Result: more reliable chemical balancing, expanded test coverage, higher code quality, and groundwork for image-based features.
May 2025 — SCM-NV/PLAMS: Delivered PISA integration enhancements across AnalysisJobs and AMSAnalysisJobs to enable reliable PISA-based analytics with multi-AMSJob support and preserved user input settings. Improved test stability for PISA plotting by increasing tolerance, reducing CI flakiness. Updated changelog to reflect PISA compatibility improvements. These efforts enhance analytics accuracy, multi-job workflows, and CI reliability, delivering clear business value.
May 2025 — SCM-NV/PLAMS: Delivered PISA integration enhancements across AnalysisJobs and AMSAnalysisJobs to enable reliable PISA-based analytics with multi-AMSJob support and preserved user input settings. Improved test stability for PISA plotting by increasing tolerance, reducing CI flakiness. Updated changelog to reflect PISA compatibility improvements. These efforts enhance analytics accuracy, multi-job workflows, and CI reliability, delivering clear business value.
April 2025 monthly summary for SCM-NV/PLAMS: Delivered Pisa-compatible MDAnalysisJobs with multi-previous-jobs support, replacing the old Settings-based configuration and enabling more sophisticated MD analysis pipelines. This work improves interoperability with the Pisa framework and reduces manual configuration, delivering business value through streamlined workflows and maintainability.
April 2025 monthly summary for SCM-NV/PLAMS: Delivered Pisa-compatible MDAnalysisJobs with multi-previous-jobs support, replacing the old Settings-based configuration and enabling more sophisticated MD analysis pipelines. This work improves interoperability with the Pisa framework and reduces manual configuration, delivering business value through streamlined workflows and maintainability.
March 2025 monthly summary for SCM-NV/PLAMS. Delivered high-impact updates across force-field configuration, RDKit constrained conformer generation, new MD scripting support, and AMSWorker reliability/documentation improvements. These efforts improve modeling accuracy, reproducibility, and developer productivity, with traceable commits and clear ownership.
March 2025 monthly summary for SCM-NV/PLAMS. Delivered high-impact updates across force-field configuration, RDKit constrained conformer generation, new MD scripting support, and AMSWorker reliability/documentation improvements. These efforts improve modeling accuracy, reproducibility, and developer productivity, with traceable commits and clear ownership.
February 2025 monthly summary for SCM-NV/PLAMS focused on delivering robust numerical workflows and data-model enhancements that improve reliability, reproducibility, and performance in constraint-based optimization and conductivity analysis. Key outcomes include streamlined constraint handling for AMS geometry optimization, improved ionic conductivity example robustness, and data-model/documentation enhancements that collectively reduce manual steps and accelerate results validation.
February 2025 monthly summary for SCM-NV/PLAMS focused on delivering robust numerical workflows and data-model enhancements that improve reliability, reproducibility, and performance in constraint-based optimization and conductivity analysis. Key outcomes include streamlined constraint handling for AMS geometry optimization, improved ionic conductivity example robustness, and data-model/documentation enhancements that collectively reduce manual steps and accelerate results validation.
January 2025 monthly summary for SCM-NV/PLAMS focusing on delivering features, fixing critical issues, and improving maintainability. Key features delivered include a constrained geometry optimization workflow with convergence handling and example usage, plus a new 2D plotting example for molecules and reactions using PLAMS with notebooks and scripts. Major bugs fixed include RDKit compatibility and interface fixes for newer RDKit versions. Code quality and documentation cleanups were performed to improve maintainability, readability, and testing. Overall impact includes more reliable optimization workflows, enhanced visualization capabilities for user onboarding and experimentation, and stronger alignment with coding standards and testing.
January 2025 monthly summary for SCM-NV/PLAMS focusing on delivering features, fixing critical issues, and improving maintainability. Key features delivered include a constrained geometry optimization workflow with convergence handling and example usage, plus a new 2D plotting example for molecules and reactions using PLAMS with notebooks and scripts. Major bugs fixed include RDKit compatibility and interface fixes for newer RDKit versions. Code quality and documentation cleanups were performed to improve maintainability, readability, and testing. Overall impact includes more reliable optimization workflows, enhanced visualization capabilities for user onboarding and experimentation, and stronger alignment with coding standards and testing.
December 2024: Delivered a robustness enhancement for PLAMS molecule conversions by introducing a presanitize option for RDKit conversions to handle problematic molecules. This included internal logic adjustments and documentation/example updates to reflect edge-case handling. The change reduces conversion failures in pipelines and improves data quality for downstream processes. No separate bugs fixed this month; the improvement primarily strengthens stability and reliability. Technologies demonstrated include RDKit integration, Python logic improvements, and updated documentation to support edge-case handling.
December 2024: Delivered a robustness enhancement for PLAMS molecule conversions by introducing a presanitize option for RDKit conversions to handle problematic molecules. This included internal logic adjustments and documentation/example updates to reflect edge-case handling. The change reduces conversion failures in pipelines and improves data quality for downstream processes. No separate bugs fixed this month; the improvement primarily strengthens stability and reliability. Technologies demonstrated include RDKit integration, Python logic improvements, and updated documentation to support edge-case handling.
Month 2024-11 — SCM-NV/PLAMS: Delivered 2D depiction and image generation for molecules and reactions, including to_image and get_reaction_image, with presanitize-based stability improvements to to_rdmol and broadened image format support. Upgraded RDKit interface code quality with enhanced formatting, stronger static typing, mypy compatibility, and explicit type hints, plus reorganized function signatures. These changes lay the groundwork for notebook-style visualization, improve maintainability, and reduce runtime risk. Notable commits include 7adf180ead991b66236d91daad5ff6c5919c48d9, 2d8a295e95a8fc4ef0362fcf508574e7aaffaad0, df2653d34c2e49b331b4b5fffc651cb3032dfc4b, and 438c6dddcadbdc3170898da9ea801cf386006f15.
Month 2024-11 — SCM-NV/PLAMS: Delivered 2D depiction and image generation for molecules and reactions, including to_image and get_reaction_image, with presanitize-based stability improvements to to_rdmol and broadened image format support. Upgraded RDKit interface code quality with enhanced formatting, stronger static typing, mypy compatibility, and explicit type hints, plus reorganized function signatures. These changes lay the groundwork for notebook-style visualization, improve maintainability, and reduce runtime risk. Notable commits include 7adf180ead991b66236d91daad5ff6c5919c48d9, 2d8a295e95a8fc4ef0362fcf508574e7aaffaad0, df2653d34c2e49b331b4b5fffc651cb3032dfc4b, and 438c6dddcadbdc3170898da9ea801cf386006f15.

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