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  1. Machine learning for the detection and characterisation of local structure in simulation data.

    Jupyter Notebook 1

  2. An interface for managing computational experiments with many independent variables.

    Python 4 1

  3. A tutorial demonstrating the use of machine learning for the classification of crystal structures in a molecular dynamics simulation.

    Jupyter Notebook 2 2

  4. Collection of tools for the statistical dynamics analysis of Molecular Dynamics trajectories.

    Python 5

  5. A Beamer theme that adheres to the University of Sydney Branding

    TeX 16 9

  6. My (accepted pending corrections) PhD Thesis on Understanding Crystal Growth

    TeX 9 1

1,098 contributions in the last year

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Contribution activity

November 2020

Created 14 commits in 1 repository

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