xxMD -- ColabFit
Collection
Datasets from xxMD -- Pengmei, Shu & Liu, Sci. Data 2024 (https://doi.org/10.1038/s41597-024-03019-3) in ColabFit format
•
6 items
•
Updated
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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data/MD/5202/MD_1086845055867124744315202.json
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Cite this dataset
Pengmei, Z., Shu, Y., and Liu, J. xxMD-CASSCF train. ColabFit, 2023. https://doi.org/10.60732/3fb520e9
Cite this dataset
Pengmei, Z., Shu, Y., and Liu, J. xxMD-CASSCF train. ColabFit, 2023. https://doi.org/10.60732/3fb520e9This dataset has been curated and formatted for the ColabFit Exchange
This dataset is also available on the ColabFit Exchange:
https://materials.colabfit.org/id/DS_qvljl3vtdp0f_0
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Dataset Name
xxMD-CASSCF train
Description
Training dataset from xxMD-CASSCF. The xxMD (Extended Excited-state Molecular Dynamics) dataset is a comprehensive collection of non-adiabatic trajectories encompassing several photo-sensitive molecules. This dataset challenges existing Neural Force Field (NFF) models with broader nuclear configuration spaces that span reactant, transition state, product, and conical intersection regions, making it more chemically representative than its contemporaries. xxMD is divided into two datasets, each with corresponding train, test and validation splits. xxMD-CASSCF contains calculations generated using state-averaged complete active state self-consistent field (SA-CASSCF) electronic theory. xxMD-DFT contains recalculated single-point spin-polarized (unrestricted) DFT values.
Dataset authors
Zihan Pengmei, Yinan Shu, Junyu Liu
Publication
https://doi.org/10.1038/s41597-024-03019-3
Original data link
https://github.com/zpengmei/xxMD
License
CC-BY-4.0
Number of unique molecular configurations
43393
Number of atoms
807456
Elements included
C, H, N, O, S
Properties included
energy, atomic forces
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. Ifcs/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).
ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:
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Size of downloaded dataset files:
139 MB
Size of the auto-converted Parquet files:
139 MB
Number of rows:
173,564