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    • PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.
      Julia
      MIT License
      102101Updated Oct 21, 2024Oct 21, 2024
    • Cairn.jl

      Public
      Enhanced sampling algorithms for the active learning of machine learning interatomic potentials (ML-IPs), implemented in Julia.
      Julia
      MIT License
      1900Updated Sep 25, 2024Sep 25, 2024
    • CESMIX

      Public
      MIT License
      0000Updated Sep 10, 2024Sep 10, 2024
    • LAMMPS.jl

      Public
      Julia
      MIT License
      113475Updated Sep 5, 2024Sep 5, 2024
    • Methods for computing expectation-valued quantities of interest (QoIs) from molecular dynamics simulation.
      Julia
      MIT License
      0000Updated Aug 5, 2024Aug 5, 2024
    • lammps

      Public
      Public development project of the LAMMPS MD software package
      C++
      GNU General Public License v2.0
      1.7k001Updated Jul 25, 2024Jul 25, 2024
    • Contains methods and types for a variety interatomic potentials.
      Julia
      MIT License
      62772Updated Jun 4, 2024Jun 4, 2024
    • Package that provides a integrated Julia workflow for molecular dyanmics simulations.
      Julia
      MIT License
      41611Updated Mar 22, 2024Mar 22, 2024
    • POD fitting and MD examples to supplement the LAMMPS implementation
      Shell
      0200Updated Nov 6, 2023Nov 6, 2023
    • julia

      Public
      The Julia Programming Language
      Julia
      MIT License
      5.5k003Updated Oct 30, 2023Oct 30, 2023
    • Extension of InteratomicPotentials.jl that contains machine learning potentials.
      Julia
      MIT License
      1400Updated Aug 15, 2023Aug 15, 2023
    • POD

      Public
      Julia
      0010Updated Jul 19, 2023Jul 19, 2023
    • HackathonTemplate

      Public template
      MIT License
      0000Updated Feb 2, 2023Feb 2, 2023
    • MLP

      Public
      A Julia package for fitting ML potentials
      Julia
      1100Updated Oct 22, 2022Oct 22, 2022
    • Provide easy-to-use CESMIX-aligned case studies. Integrate the latest developments of the Julia atomistic ecosystem and state-of-the-art tools.
      JetBrains MPS
      0780Updated Aug 29, 2022Aug 29, 2022
    • Halide

      Public
      a language for fast, portable data-parallel computation
      C++
      Other
      1.1k100Updated May 13, 2022May 13, 2022
    • allegro

      Public
      Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
      Python
      MIT License
      45000Updated May 3, 2022May 3, 2022
    • aKMC

      Public
      Julia
      2000Updated Apr 26, 2022Apr 26, 2022
    • MDP

      Public
      C++
      MIT License
      0220Updated Jan 12, 2022Jan 12, 2022
    • Julia
      MIT License
      0100Updated Dec 7, 2021Dec 7, 2021
    • Julia
      0000Updated Dec 3, 2021Dec 3, 2021
    • Julia
      MIT License
      0000Updated Oct 29, 2021Oct 29, 2021
    • Julia
      MIT License
      0000Updated Oct 26, 2021Oct 26, 2021
    • Julia
      MIT License
      0100Updated Oct 26, 2021Oct 26, 2021
    • Perform UQ for learned potentials
      MIT License
      1501Updated Oct 15, 2021Oct 15, 2021
    • FitSNAP

      Public
      Software for generating SNAP machine-learning interatomic potentials
      Python
      GNU General Public License v2.0
      55000Updated Sep 29, 2021Sep 29, 2021
    • Workflow for creating and analyzing the Open Catalyst Dataset
      Python
      32000Updated Apr 30, 2021Apr 30, 2021
    • Julia
      MIT License
      0000Updated Feb 26, 2021Feb 26, 2021
    • Exasim

      Public
      Exasim: Generating Discontinuous Galerkin Codes For Extreme Scalable Simulations
      C++
      MIT License
      19000Updated Nov 30, 2020Nov 30, 2020