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Model for TinNet Oxygen dataset

  • Description: This is a benchmark to evaluate how accurately an AI model can predict the energy of adsorption of OH using the TinNet dataset. The dataset contains different types of heterogeneous catalysts. Here we use mean absolute error (MAE) to compare models with respect to DFT accuracy. External links: https://www.nature.com/articles/s41467-021-25639-8


Reference(s): https://www.nature.com/articles/s41524-021-00650-1, https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00096b, https://doi.org/10.1038/s41467-021-25639-8

Model benchmarks

Model nameDataset MAE Team name Dataset size Date submitted Notes
MACE_pretrainedtinnet_OH14.3575ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_OH-test-mae.csv.ziptinnet_OH3.4421ALIGNN74601-14-2023CSV, JSON, run.sh, Info
alignn_modeltinnet_OH0.0882ALIGNN74601-14-2023CSV, JSON, run.sh, Info
MATGL_pretrainedtinnet_OH13.5468ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_CO-test-mae.csv.ziptinnet_OH0.7498ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_OH-test-mae.csv.ziptinnet_OH0.0843ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_COOH-test-mae.csv.ziptinnet_OH1.9107ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_CHO-test-mae.csv.ziptinnet_OH1.0117ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_O-test-mae.csv.ziptinnet_OH1.8078ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_O-test-mae.csv.ziptinnet_OH3.6081ALIGNN74601-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_N-test-mae.csv.ziptinnet_OH2.1692ALIGNN74601-14-2023CSV, JSON, run.sh, Info
alignnff_pretrained_wt0.1tinnet_OH9.5889JARVIS74601-14-2023CSV, JSON, run.sh, Info
CHGNet_pretrainedtinnet_OH16.1028ALIGNN74601-14-2023CSV, JSON, run.sh, Info