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Synthetic Data
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    .. grid-item-card::
        :class-item: info-card
    
        .. centered:: :doc:`AC-2D-22 <../datasets/AC-2D-22>`
    
        Amorphous, 2D graphene structures generated using a Monte Carlo bond-switching algorithm,
        as described in Figure 3 of the paper: `Exploring the Configurational Space of Amorphous Graphene with Machine-Learned Atomic Energies <https://pubs.rsc.org/en/content/articlelanding/2022/sc/d2sc04326b>`_.
        Files are downloaded from `Zenodo <https://zenodo.org/records/7221166>`_.
        
    
    
    .. grid-item-card::
        :class-item: info-card
    
        .. centered:: :doc:`C-SYNTH-23M <../datasets/C-SYNTH-23M>`
    
        The complete "synthetic" dataset of carbon structures from `Synthetic Data Enable Experiments in Atomistic Machine Learning <https://doi.org/10.1039/D2DD00137C>`_.
        This dataset comprises 546 uncorrelated MD trajectories, each containing 200 atoms, driven by the `C-GAP-17 <https://doi.org/10.1103/PhysRevB.95.094203>`_ interatomic potential,
        and sampled every 1ps. The structures cover a wide range of densities, temperatures and degrees of dis/order.
        
    

.. toctree::
    :maxdepth: 1
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    ../datasets/AC-2D-22
    ../datasets/C-SYNTH-23M