Unlike the structural data available for proteins, the structural data available for inorganic solids is rather scarce given the size of the space. While a similar order of experimental crystal structures has been reported for solids (~240,000 in the ICSD) and proteins (~200,000 in the PDB) , there are more atom types making up inorganic solids than there are distinct amino acids making up proteins, and a typical inorganic crystal structure contains only a few atomic environments for each atom. This lack of structural data is commonly addressed by different data augmentation strategies: treating each atom as a Gaussian density distribution , randomly displacing atoms around their equilibrium positions and using calculated structures . To make our approach numerically stable and applicable even to a single reference structure, we use Gaussian smoothing and model each pair distance 𝑟 𝑖𝑗 within a reference structure as a normally distributed range of distances 𝐺(𝑟) with standard deviation 𝜎 = 0.1 Å: