AlNiTi_CMS_2019 / README.md
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metadata
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: cc-by-4.0
tags:
  - molecular dynamics
  - mlip
  - interatomic potential
pretty_name: AlNiTi CMS 2019

Cite this dataset Gubaev, K., Podryabinkin, E. V., Hart, G. L., and Shapeev, A. V. AlNiTi CMS 2019. ColabFit, 2023. https://doi.org/10.60732/7b56ca82

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_dtjyh96dypuu_0

Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.

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Dataset Name

AlNiTi CMS 2019

Description

This dataset was generated using the following active learning scheme: 1) candidate structures were relaxed by a partially-trained MTP model, 2) structures for which the MTP had to perform extrapolation were passed to DFT to be re-computed, 3) the MTP was retrained, including the structures that were re-computed with DFT, 4) steps 1-3 were repeated until the MTP no longer extrapolated on any of the original candidate structures. The original candidate structures for this dataset included about 375,000 binary and ternary structures, enumerating all possible unit cells with different symmetries (BCC, FCC, and HCP) and different number of atoms.

Dataset authors

Konstantin Gubaev, Evgeny V. Podryabinkin, Gus L.W. Hart, Alexander V. Shapeev

Publication

https://doi.org/10.1016/j.commatsci.2018.09.031

Original data link

https://gitlab.com/kgubaev/accelerating-high-throughput-searches-for-new-alloys-with-active-learning-data

License

CC-BY-4.0

Number of unique molecular configurations

2666

Number of atoms

24851

Elements included

Al, Ni, Ti

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).

ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files: