As we have shown in the previous section, a force field approach gives interesting qualitative insight, but the DFT level of accuracy is needed to make quantitative predictions of the heat capacity. However, due to the cost of these DFT calculations, we can only compute the heat capacity for a small subset of materials. Therefore, a machine learning approach is an attractive alternative.