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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Shark

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Alex6022/README.md

Hi, I’m Alexander Wieczorek (aka @Alex6022) 🧪⚙️📊

On this GitHub page, you can find useful digital tools for data-driven Materials Science, developed with an eye toward both academic research and industrial applications.

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  1. emdgroup/baybe emdgroup/baybe Public

    Bayesian Optimization and Design of Experiments

    Python 493 79

  2. AC-BO-Hackathon/project-surface-science-syndicate AC-BO-Hackathon/project-surface-science-syndicate Public

    Bayesian optimization of corrosion inhibitor molecules by surface-science-syndicate

    Jupyter Notebook 9

  3. llm-labview-integration llm-labview-integration Public

    Control of legacy or industrial tools using natural language. Contribution to the 2025 LLM Hackathon for Applications in Materials Science & Chemistry.

    Python 2 1

  4. SPEIS-analysis SPEIS-analysis Public

    Jupyter notebook leveraging impedance.py to simplify the batch analysis of staircase potential electrochemical impedance spectroscopy (SPEIS) data.

    Jupyter Notebook 3 1

  5. Empa-CT/PbI2_Residuals_From_UVVis Empa-CT/PbI2_Residuals_From_UVVis Public

    Repository to accompany publication "Advancing High-Throughput Combinatorial Aging Studies of Hybrid Perovskite Thin-Films via Precise Automated Characterization Methods and Machine Learning Assist…

    Jupyter Notebook 1

  6. Empa-CT/pl-forecasting Empa-CT/pl-forecasting Public

    Jupyter Notebook