
Zekun Lou developed and enhanced phonon analysis workflows for the sabia-group/How-Tos repository, focusing on reproducibility and usability in computational materials science. He implemented Python-based scripts and Jupyter Notebook tutorials that integrate Phonopy, ASE, and MACE, enabling researchers to perform phonon calculations, force evaluations, and band structure plotting with improved clarity. Lou addressed documentation quality by refactoring guides, standardizing terminology, and resolving rendering issues, which streamlined onboarding and reduced ambiguities. His work included adding OVITO-based visualization support and command-line interfaces, demonstrating depth in Python scripting, scientific computing, and technical writing while ensuring robust, maintainable resources for the research community.
October 2025 monthly wrap-up for sabia-group/How-Tos. Delivered end-to-end phonon workflow resources and tooling, enabling researchers to reproduce phonon calculations with Phonopy and a committee of MACE models. Improved documentation quality with refactoring and grammar fixes, and stabilized the JupyterNotebook experience by addressing code rendering in notebooks.
October 2025 monthly wrap-up for sabia-group/How-Tos. Delivered end-to-end phonon workflow resources and tooling, enabling researchers to reproduce phonon calculations with Phonopy and a committee of MACE models. Improved documentation quality with refactoring and grammar fixes, and stabilized the JupyterNotebook experience by addressing code rendering in notebooks.
February 2025 monthly summary for sabia-group/How-Tos: Delivered end-to-end enhancements for phonon analysis workflow, improving usability, visualization, and documentation quality. The work accelerates research cycles by clarifying Phonopy usage with Python scripts, enabling mode analyses through updated inputs, adding OVITO-based visualizations, and strengthening docs with rendering stability fixes and consistent terminology.
February 2025 monthly summary for sabia-group/How-Tos: Delivered end-to-end enhancements for phonon analysis workflow, improving usability, visualization, and documentation quality. The work accelerates research cycles by clarifying Phonopy usage with Python scripts, enabling mode analyses through updated inputs, adding OVITO-based visualizations, and strengthening docs with rendering stability fixes and consistent terminology.

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