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Model for AGRA OH dataset

  • Description: This is a benchmark to evaluate how accurately an AI model can predict the energy of adsorption of CHO using the Automatic graph representation algorithm (AGRA) 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://pubs.aip.org/aip/aml/article/1/3/036103/2900763/Automatic-graph-representation-algorithm-for


Reference(s): https://www.nature.com/articles/s41524-021-00650-1, https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00096b, https://doi.org/10.1063/5.0140487

Model benchmarks

Model nameDataset MAE Team name Dataset size Date submitted Notes
MACE_pretrainedAGRA_CHO34.068ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_OH-test-mae.csv.zipAGRA_CHO1.7174ALIGNN21401-14-2023CSV, JSON, run.sh, Info
alignn_modelAGRA_CHO0.1062ALIGNN21401-14-2023CSV, JSON, run.sh, Info
MATGL_pretrainedAGRA_CHO27.4387ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_CO-test-mae.csv.zipAGRA_CHO0.563ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_OH-test-mae.csv.zipAGRA_CHO1.3462ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_COOH-test-mae.csv.zipAGRA_CHO0.6928ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_CHO-test-mae.csv.zipAGRA_CHO0.0953ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_O-test-mae.csv.zipAGRA_CHO3.0565ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-AGRA_O-test-mae.csv.zipAGRA_CHO1.6952ALIGNN21401-14-2023CSV, JSON, run.sh, Info
Out-AI-SinglePropertyPrediction-ead-tinnet_N-test-mae.csv.zipAGRA_CHO4.7902ALIGNN21401-14-2023CSV, JSON, run.sh, Info
alignnff_pretrained_wt0.1AGRA_CHO28.3807JARVIS21401-14-2023CSV, JSON, run.sh, Info
CHGNet_pretrainedAGRA_CHO35.9132ALIGNN21401-14-2023CSV, JSON, run.sh, Info