Dataset

H_nature_2022




Species content of dataset


Name :
H_nature_2022
Authors :
Xingyi Guan, Akshaya Das, Christopher J. Stein, Farnaz Heidar-Zadeh, Luke Bertels, Meili Liu, Mojtaba Haghighatlari, Jie Li, Oufan Zhang, Hongxia Hao, Itai Leven, Martin Head-Gordon, Teresa Head-Gordon
Description :
Over 300,000 configurations in an expanded dataset of 19 hydrogen combustion reaction channels. Intrinsic reaction coordinate calculations (IRC) are combined with ab initio simulations (AIMD) and normal mode displacement (NM) calculations.
Cite As :
Guan, X., Das, A., Stein, C. J., Heidar-Zadeh, F., Bertels, L., Liu, M., Haghighatlari, M., Li, J., Zhang, O., Hao, H., Leven, I., Head-Gordon, M., and Head-Gordon, T. "H nature 2022." ColabFit, 2023. https://doi.org/10.60732/ebb9ca58.
ColabFit ID :
Date Added :
2023-02-22
License :
CC-BY-4.0
Downloads :
57
Num. Configurations :
315,943
Num. Atoms :
1,399,037
Calculated Property Types :
atomic_forces energy
Elements :
H (47.2%) O (52.8%)
Methods :
DFT-ωB97X-V
Software :
Q-Chem
Spec File :
Configuration Sets by Name :
Configuration Sets by ID :
Dataset viewer powered by Hugging Face

No uploaded content is transferred in ownership from the original creators to ColabFit. All content is distributed under the license specified by its contributor who has stated that he or she has the authority to share it under the specified license.