
Kangmin Kan developed and maintained automation and hardware integration features for the High-Throughput-Experimentation/helao-async repository, focusing on laboratory robotics and experimental control. Over eight months, Kan delivered robust Python and YAML-based workflows for liquid handling, gas management, and experiment sequencing, emphasizing configuration management and process reliability. His work included upgrading potentiostat integration, refining calibration routines, and automating complex cleaning and injection procedures to improve reproducibility and throughput. By implementing parameterized experiment logic and hardware abstraction, Kan reduced manual intervention and misconfiguration risk. The depth of his contributions is reflected in the repository’s enhanced automation, safer operation, and streamlined experimental setup.

August 2025 monthly summary for High-Throughput-Experimentation/helao-async: Delivered UVIS4 configuration and calibration refinements to enhance experimental positioning, reproducibility, and data reliability. Implemented a new UVIS4 configuration file and calibration routines affecting stage offsets and motor XY reference points, supported by a set of commits that establish configuration, unit scaling (counts to mm), and stabilized reference points. These changes reduce drift, shorten setup time for high-throughput experiments, and enable more reproducible results, contributing to higher experiment throughput and data quality across runs.
August 2025 monthly summary for High-Throughput-Experimentation/helao-async: Delivered UVIS4 configuration and calibration refinements to enhance experimental positioning, reproducibility, and data reliability. Implemented a new UVIS4 configuration file and calibration routines affecting stage offsets and motor XY reference points, supported by a set of commits that establish configuration, unit scaling (counts to mm), and stabilized reference points. These changes reduce drift, shorten setup time for high-throughput experiments, and enable more reproducible results, contributing to higher experiment throughput and data quality across runs.
June 2025 monthly summary for High-Throughput-Experimentation/helao-async. Focused on hardware integration, workflow automation, and data export to enable higher-throughput experiments with improved reliability and cost efficiency. Delivered four feature improvements across ccsi hardware, rinse/chemical handling, automated phosphoric injection, and ICP-MS data export. No distinct critical bugs reported; work prioritized repeatable processes and end-to-end automation. Impact includes increased experimental throughput, reduced solvent usage, and streamlined data workflows.
June 2025 monthly summary for High-Throughput-Experimentation/helao-async. Focused on hardware integration, workflow automation, and data export to enable higher-throughput experiments with improved reliability and cost efficiency. Delivered four feature improvements across ccsi hardware, rinse/chemical handling, automated phosphoric injection, and ICP-MS data export. No distinct critical bugs reported; work prioritized repeatable processes and end-to-end automation. Impact includes increased experimental throughput, reduced solvent usage, and streamlined data workflows.
May 2025 summary for High-Throughput-Experimentation/helao-async: Delivered key enhancements to CO2 measurement duration handling, methanol pump configuration/naming, and secondary liquid injection, along with a bug fix to wait timing in CCSI experiments. These changes broaden experiment configurability, improve reliability, and enhance maintainability through refactoring and standardized parameter naming. Impact: faster setup of diverse experiments, reduced misconfigurations, and better traceability via logging.
May 2025 summary for High-Throughput-Experimentation/helao-async: Delivered key enhancements to CO2 measurement duration handling, methanol pump configuration/naming, and secondary liquid injection, along with a bug fix to wait timing in CCSI experiments. These changes broaden experiment configurability, improve reliability, and enhance maintainability through refactoring and standardized parameter naming. Impact: faster setup of diverse experiments, reduced misconfigurations, and better traceability via logging.
April 2025 monthly summary for High-Throughput-Experimentation/helao-async: Delivered core features to improve experiment throughput, reliability, and hardware integration, along with targeted fixes to ensure consistent visualization and configuration. The month focused on enhancing cleaning workflows, enabling flexible CCSI experimentation, standardizing pump control, and tightening gas/hardware configurations, with improvements to the live visualizer for predictable operation.
April 2025 monthly summary for High-Throughput-Experimentation/helao-async: Delivered core features to improve experiment throughput, reliability, and hardware integration, along with targeted fixes to ensure consistent visualization and configuration. The month focused on enhancing cleaning workflows, enabling flexible CCSI experimentation, standardizing pump control, and tightening gas/hardware configurations, with improvements to the live visualizer for predictable operation.
March 2025 contributions to High-Throughput-Experimentation/helao-async focused on correctness, automation, and safer manual control for ADSS workflows. Delivered a set of bug fixes and feature enhancements that align run-time behavior with configured parameters, expanded the automated injection sequence, introduced a manual control path, and extended the cleaning procedures library and configuration for safer experiments. These changes reduce misconfiguration risk, accelerate experiment setup, and improve operational safety across ADSS workflows.
March 2025 contributions to High-Throughput-Experimentation/helao-async focused on correctness, automation, and safer manual control for ADSS workflows. Delivered a set of bug fixes and feature enhancements that align run-time behavior with configured parameters, expanded the automated injection sequence, introduced a manual control path, and extended the cleaning procedures library and configuration for safer experiments. These changes reduce misconfiguration risk, accelerate experiment setup, and improve operational safety across ADSS workflows.
February 2025 focused on delivering automation-forward enhancements to syringe and gas handling workflows in the hela o async repository, spanning CCSI, CSIL, and ADSS experiments. Key deliveries include backlash-compensated syringe refill cleanups with v3-compatible infusion logic, water injection capability with documentation and configurable volumes, syringe pump hardware reconfiguration with tuned volumes/rates, expanded gas handling including GasSample support and unloading controls, and a temporary manual phosphoric acid injection path with interrupt support and renamed gas unloading functions for clarity. Documentation updates accompanied the water-injection changes. These updates improve automation, reproducibility, safety, and throughput, while reducing manual intervention and setup time, and align with the ongoing migration to v3 logic.
February 2025 focused on delivering automation-forward enhancements to syringe and gas handling workflows in the hela o async repository, spanning CCSI, CSIL, and ADSS experiments. Key deliveries include backlash-compensated syringe refill cleanups with v3-compatible infusion logic, water injection capability with documentation and configurable volumes, syringe pump hardware reconfiguration with tuned volumes/rates, expanded gas handling including GasSample support and unloading controls, and a temporary manual phosphoric acid injection path with interrupt support and renamed gas unloading functions for clarity. Documentation updates accompanied the water-injection changes. These updates improve automation, reproducibility, safety, and throughput, while reducing manual intervention and setup time, and align with the ongoing migration to v3 logic.
January 2025 monthly performance for High-Throughput-Experimentation/helao-async focused on reliability, automation, and hardware stability. Key sequence enhancements and new capabilities were delivered, enabling more robust experimentation and reduced manual intervention. Improvements include refactoring and refining ADSS_PA_CV_TRI and ADSS_PA_CV_TRI_new sequences with explicit injector parameter definitions, improved parameter handling, and washmod initialization fixes to ensure correct sequence processing. A new PAL injector deep-clean capability was added (ADSS_sub_PAL_deep_clean) with updated default behavior and versioning to reflect deep-clean support. Tray-to-tray liquid transfer automation was implemented in the ADSS module, enabling automated transfers between vials with configurable volume and rinsing. Finally, the server configuration was rolled back to gamry_server2 with re-enabled parameters to restore a known-good hardware/software configuration. These changes collectively improve throughput, reproducibility, and safety, while reducing manual steps and operator risk. Technologies and skills demonstrated include sequence refactoring, hardware integration (PAL injector), experiment automation, versioning, and configuration management.
January 2025 monthly performance for High-Throughput-Experimentation/helao-async focused on reliability, automation, and hardware stability. Key sequence enhancements and new capabilities were delivered, enabling more robust experimentation and reduced manual intervention. Improvements include refactoring and refining ADSS_PA_CV_TRI and ADSS_PA_CV_TRI_new sequences with explicit injector parameter definitions, improved parameter handling, and washmod initialization fixes to ensure correct sequence processing. A new PAL injector deep-clean capability was added (ADSS_sub_PAL_deep_clean) with updated default behavior and versioning to reflect deep-clean support. Tray-to-tray liquid transfer automation was implemented in the ADSS module, enabling automated transfers between vials with configurable volume and rinsing. Finally, the server configuration was rolled back to gamry_server2 with re-enabled parameters to restore a known-good hardware/software configuration. These changes collectively improve throughput, reproducibility, and safety, while reducing manual steps and operator risk. Technologies and skills demonstrated include sequence refactoring, hardware integration (PAL injector), experiment automation, versioning, and configuration management.
December 2024: Delivered a critical upgrade to the ADSS Potentiostat workflow within the High-Throughput-Experimentation/helao-async platform, enabling Biologic potentiostat integration, updated server configuration and parameters for compatibility and enhanced electrochemical measurements, and refined motor reference points in the ADSS configuration to improve positioning/calibration. This work increases measurement accuracy, system reliability, and overall experimental throughput, aligning with the roadmap for robust automated experimentation.
December 2024: Delivered a critical upgrade to the ADSS Potentiostat workflow within the High-Throughput-Experimentation/helao-async platform, enabling Biologic potentiostat integration, updated server configuration and parameters for compatibility and enhanced electrochemical measurements, and refined motor reference points in the ADSS configuration to improve positioning/calibration. This work increases measurement accuracy, system reliability, and overall experimental throughput, aligning with the roadmap for robust automated experimentation.
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