Dataset

OC22-S2EF-Train




Species content of dataset


Name :
OC22-S2EF-Train
Authors :
Richard Tran, Janice Lan, Muhammed Shuaibi, Brandon M. Wood, Siddharth Goyal, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Felix Therrien, Jehad Abed, Oleksandr Voznyy, Edward H. Sargent, Zachary Ulissi, C. Lawrence Zitnick
Description :
Training configurations for the structure to total energy and forces task (S2EF) of OC22. Open Catalyst 2022 (OC22) is a database of training trajectories for predicting catalytic reactions on oxide surfaces meant to complement OC20, which did not contain oxide surfaces.
Cite As :
Tran, R., Lan, J., Shuaibi, M., Wood, B. M., Goyal, S., Das, A., Heras-Domingo, J., Kolluru, A., Rizvi, A., Shoghi, N., Sriram, A., Therrien, F., Abed, J., Voznyy, O., Sargent, E. H., Ulissi, Z., and Zitnick, C. L. "OC22-S2EF-Train." ColabFit, 2023. https://doi.org/10.60732/68160e50.
ColabFit ID :
Date Added :
2023-03-16
License :
CC-BY-4.0
Downloads :
111
Num. Configurations :
8,356,688
Num. Atoms :
668,033,119
Calculated Property Types :
atomic_forces energy
Elements :
Ag (1.43%) Al (1.47%) As (0.09%) Au (0.53%) Ba (1.21%) Be (0.42%) Bi (1.9%) C (0.43%) Ca (0.9%) Cd (0.76%) Ce (0.05%) Co (1.15%) Cr (0.89%) Cs (0.89%) Cu (1.27%) Fe (0.71%) Ga (0.77%) Ge (0.62%) H (0.88%) Hf (0.5%) Hg (0.63%) In (0.05%) Ir (0.39%) K (1.19%) Li (1.76%) Lu (0.47%) Mg (0.94%) Mn (1.0%) Mo (0.72%) N (0.29%) Na (0.81%) Nb (0.72%) Ni (0.64%) O (57.15%) Os (0.14%) Pb (0.07%) Pd (0.65%) Pt (0.73%) Rb (1.17%) Re (0.31%) Rh (0.37%) Ru (0.26%) Sb (1.3%) Sc (0.57%) Se (0.87%) Si (0.87%) Sn (0.72%) Sr (1.16%) Ta (0.72%) Te (0.1%) Ti (1.02%) Tl (0.78%) V (1.21%) W (0.94%) Y (0.74%) Zn (0.91%) Zr (0.74%)
Methods :
DFT-PBE+U
Software :
VASP
Spec File :
Configuration Sets by Name :
Configuration Sets by ID :
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