Model for Vacancy formation energy for oxides

• Description: This is a benchmark to evaluate how accurately an AI model can predict vacancy formation energy for a subset of oxide materials. Here we use mean absolute error (MAE) to compare models with respect to DFT accuracy.
  

Reference(s): https://pubs.acs.org/doi/abs/10.1021/jacs.1c05570, https://doi.org/10.48550/arXiv.2205.08366

Model benchmarks

Model name	Dataset	MAE	Team name	Dataset size	Date submitted	Notes
crystal_feature_model	vacancydb_oxides_train_test	0.7	Crystal_Features	30	01-14-2023	CSV, JSON, run.sh, Info