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killiansheriff/readme.md

> Hi there, I'm Killian Sheriff

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Glad to see you here!  

About me: I am a Ph.D. candidate in the Department of Materials Science and Engineering at MIT, advised by Prof. Rodrigo Freitas. Prior to MIT, I graduated with an BSc. in Mathematics and Physics from McGill University in 2021. I am originally from Cannes, a beautiful city nestled in the South of France.

Research interests: My research interests lie at the intersection of materials science, machine learning and mathematics. Broadly, I am interested in combining data science techniques with cross-scale atomistic simulations to unravel physical phenomenon at an unprecedented resolution. I also enjoy designing computational workflows facilitating the characterization and discovery of materials.

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  1. LovelyPlots LovelyPlots Public

    Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

    Python 853 36

  2. WarrenCowleyParameters WarrenCowleyParameters Public

    OVITO Python modifier to compute the Warren-Cowley parameters.

    Python 23 7

  3. ChemicalMotifIdentifier ChemicalMotifIdentifier Public

    A Python package to perform a chemical motif characterization of short-range order.

    Python 18 2

  4. AtomisticReverseMonteCarlo AtomisticReverseMonteCarlo Public

    OVITO Python modifier to generate bulk crystal structures with target Warren-Cowley parameters.

    Python 21 3

  5. DemistifyingE3NN DemistifyingE3NN Public

    A blog post on E(3)-equivariant Neural Networks.

    Jupyter Notebook 8

  6. Polya Polya Public

    A python implementation of Polya's enumeration theory (pattern inventory).

    Python 7 1