mlearn_Mo_train / README.md
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---
configs:
- config_name: default
data_files: "co/*.parquet"
- config_name: info
data_files: "ds.parquet"
- config_name: configuration_sets
data_files: "cs/*.parquet"
- config_name: config_set_mapping
data_files: "cs_co_map/*.parquet"
license: bsd-3-clause
tags:
- molecular dynamics
- mlip
- interatomic potential
pretty_name: mlearn Mo train
---
### <details><summary>Cite this dataset </summary>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 Mo train_. ColabFit, 2023. https://doi.org/10.60732/3827e5e1</details>
#### This 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_ytoet4uyc32k_0
#### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.
https://materials.colabfit.org
<br><hr>
# Dataset Name
mlearn Mo 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 Mo 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
194
### Number of atoms
10087
### Elements included
Mo
### Properties included
energy, atomic forces, cauchy stress
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<hr>
# 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).
<br>
#### ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:
- [Parquet parsing: example code](https://materials.colabfit.org/docs/how_to_use_parquet)
- [Dataset info schema](https://materials.colabfit.org/docs/dataset_schema)
- [Configuration schema](https://materials.colabfit.org/docs/configuration_schema)
- [Configuration set schema](https://materials.colabfit.org/docs/configuration_set_schema)
- [Configuration set to configuration mapping schema](https://materials.colabfit.org/docs/cs_co_mapping_schema)