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    hdkim99/README.md

    Peter Kim

    Scientific software for experimental chemical engineering.

    I develop open-source tools that make laboratory data conversion, reactor analysis, temperature-programmed characterization, and multi-instrument timing more reproducible and auditable.

    Scientific tools

    ProjectResearch workflow
    OrdifileSupported chromatography results → standardized, auditable Excel data
    ReactorCheckReactor and GC measurements → unit-aware reaction metrics and QC
    TPxLabTPR, TPD, and TPO curves → reproducible signal processing and peak analysis
    OperandoMergeHeterogeneous instrument clocks → synchronized experimental datasets with provenance

    These are related independent repositories. Direct interoperability is planned only where public schemas and real research workflows provide enough evidence; they are not presented as a fully integrated suite.

    Research-software focus

    • catalysis and reaction engineering;
    • chromatography and temperature-programmed characterization;
    • scientific units, provenance, quality control, and reproducible exports; and
    • validation against selected public research datasets without collecting telemetry.

    Pinned Loading

    1. ordifileordifilePublic

      Convert supported chromatography results into one auditable Excel workbook.

      Python

    2. ReactorCheckReactorCheckPublic

      Unit-aware reaction metrics and QC for catalytic reactor and GC data.

      Python

    3. TPxLabTPxLabPublic

      Reproducible analysis and global deconvolution of TPR, TPD and TPO data.

      Python

    4. OperandoMergeOperandoMergePublic

      Synchronize heterogeneous experimental instrument data onto one auditable timeline.

      Python

    5. FTProductLabFTProductLabPublic

      Reproducible Fischer–Tropsch product-distribution and ASF analysis

      Python 1