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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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  1. cesmix-mit/PotentialLearning.jl cesmix-mit/PotentialLearning.jl Public

    PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.

    Julia 21 10

  2. ActiveSubspaces.jl ActiveSubspaces.jl Public

    A Julia library for implementing active subspaces for QoI-based dimension reduction in stochastic systems characterized by an invariant measure.

    Julia

  3. cesmix-mit/Cairn.jl cesmix-mit/Cairn.jl Public

    Enhanced sampling algorithms for the active learning of machine learning interatomic potentials (ML-IPs), implemented in Julia.

    Julia 9 1

  4. cesmix-mit/AtomisticQoIs.jl cesmix-mit/AtomisticQoIs.jl Public

    Methods for computing expectation-valued quantities of interest (QoIs) from molecular dynamics simulation.

    Julia