This model is a M3GNet formation energy model for 89 elements of the periodic table. It contains the formation
energy for most materials. This is essentially a retrained version of the M3GNet formation energy model
originally implemented in tensorflow.
MP-2018.6.1: Materials Project formation energy as of 2018.6.1.
MAE of formation energy in eV/atom.
1Chen, C., Ong, S.P. A universal graph deep learning interatomic potential for the periodic table. Nat Comput Sci,
22, 718–728 (2022). https://doi.org/10.1038/s43588-022-00349-3.
