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Synthetic Data
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.. grid:: 2

    
    .. grid-item-card::
        :class-item: info-card
    
        .. centered:: :doc:`a-Si-24 <../datasets/a-Si-24>`
    
        A dataset of synthetic amorphous Silicon structures, taken from
        `Signatures of paracrystallinity in amorphous silicon <https://arxiv.org/abs/2407.16681>`__.
        Each structure is the final snapshot from a unique melt-quench MD trajectory. 
        The combined dataset covers a wide range of quench rates and densities, and includes the labels 
        from the MTP :math:`M_{16}^{''}` potential used to generate the structures.
        
    
    
    .. 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
    :hidden:

    ../datasets/a-Si-24
    ../datasets/AC-2D-22
    ../datasets/C-SYNTH-23M