Datasets:

colabfit
/

mlearn_Ni_train

property_id string	property_hash string	last_modified timestamp[us]	dataset_id string	multiplicity int32	software string	method string	energy float64	atomic_forces list	cauchy_stress list	cauchy_stress_volume_normalized bool	electronic_band_gap float64	electronic_band_gap_type string	formation_energy float64	adsorption_energy float64	atomization_energy float64	max_force_norm float64	mean_force_norm float64	energy_above_hull float64	configuration_id string	configuration_hash string	structure_hash string	cell list	positions list	pbc list	chemical_formula_hill string	chemical_formula_reduced string	chemical_formula_anonymous string	elements list	elements_ratios list	atomic_numbers list	nsites int32	nelements int32	nperiodic_dimensions int32	dimension_types list	names list	labels list	property_metadata_path string	configuration_metadata_path string	hash string	configuration_metadata string	property_metadata string
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Cite this dataset
Zuo, Y., Chen, C., Li, X., Deng, Z., Chen, Y., Behler, J., Csányi, G., Shapeev, A. V., Thompson, A. P., Wood, M. A., and Ong, S. P. mlearn Ni train. ColabFit, 2023. https://doi.org/10.60732/9a25df21

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Dataset Name

mlearn Ni train

Description

A comprehensive DFT data set was generated for six elements - Li, Mo, Ni, Cu, Si, and Ge. These elements were chosen to span a variety of chemistries (main group metal, transition metal, and semiconductor), crystal structures (bcc, fcc, and diamond) and bonding types (metallic and covalent). This dataset comprises only the Ni configurations

Dataset authors

Yunxing Zuo, Chi Chen, Xiangguo Li, Zhi Deng, Yiming Chen, Jörg Behler, Gábor Csányi, Alexander V. Shapeev, Aidan P. Thompson, Mitchell A. Wood, Shyue Ping Ong

Publication

https://doi.org/10.1021/acs.jpca.9b08723

Original data link

https://github.com/materialsvirtuallab/mlearn/tree/master/data

License

BSD-3-Clause

Number of unique molecular configurations

263

Number of atoms

27420

Elements included

Properties included

energy, atomic forces, cauchy stress

Usage

ds.parquet : Aggregated dataset information.
co/ directory: Configuration rows each include a structure, calculated properties, and metadata.
cs/ directory : Configuration sets are subsets of configurations grouped by some common characteristic. If cs/ does not exist, no configurations sets have been defined for this dataset.
cs_co_map/ directory : The mapping of configurations to configuration sets (if defined).