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Writing code
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Writing code

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@uio-profag

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anjohan/README.md

PhD student in the group of Boris Kozinsky at Harvard SEAS.

I work on molecular dynamics for materials science, with a focus on developing fast-but-accurate machine learning potentials. In particular, I work on profiling, optimization and GPU acceleration.

Highlights:

Contact: [email protected]

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  1. mir-group/flare mir-group/flare Public

    An open-source Python package for creating fast and accurate interatomic potentials.

    Python 299 72

  2. phoebe-team/phoebe phoebe-team/phoebe Public

    A high-performance framework for solving phonon and electron Boltzmann equations

    C++ 90 20

  3. neuralnetwork neuralnetwork Public

    Simple, parallel, object-oriented Fortran neural network

    Fortran 20 1

  4. mdtools mdtools Public

    Some useful tools for working with LAMMPS.

    Python 3 2

  5. lammps-binary-dump-reader lammps-binary-dump-reader Public

    [WORK IN PROGRESS] Simple, fast, object-oriented interface to LAMMPS binary dump files

    Fortran 1

  6. mir-group/pair_allegro mir-group/pair_allegro Public

    LAMMPS pair style for Allegro deep learning interatomic potentials with parallelization support

    C++ 37 8