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@killiansheriff

Killian Sheriff

killiansheriff
Cambridge, MA

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.

Featured work

  1. killiansheriff/LovelyPlots

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

    Python 807
  2. killiansheriff/DemistifyingE3NN

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

    Jupyter Notebook 7
  3. killiansheriff/AtomisticReverseMonteCarlo

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

    Python 18
  4. killiansheriff/WarrenCowleyParameters

    OVITO Python modifier to compute the Warren-Cowley parameters.

    Python 17
  5. killiansheriff/NShellFinder

    Ovito Python modifier to find the n-th coordination shell neighbors.

    Python 6
  6. killiansheriff/ChemicalMotifIdentifier

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

    Python 8

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