Add SN2_JCTC_2019 files
Browse files- README.md +55 -0
- co/co_0.parquet +3 -0
- ds.parquet +3 -0
README.md
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---
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configs:
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- config_name: default
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data_files: "co/*.parquet"
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- config_name: info
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data_files: "ds.parquet"
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license: cc-by-4.0
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tags:
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- molecular dynamics
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- mlip
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- interatomic potential
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pretty_name: SN2 JCTC 2019
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---
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### <details><summary>Cite this dataset </summary>Unke, O. T., and Meuwly, M. _SN2 JCTC 2019_. ColabFit, 2023. https://doi.org/10.60732/31df6835</details>
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#### This dataset has been curated and formatted for the ColabFit Exchange
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#### This dataset is also available on the ColabFit Exchange:
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https://materials.colabfit.org/id/DS_3tspv1150ejj_0
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#### Visit the ColabFit Exchange to search additional datasets by author, description, element content and more.
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https://materials.colabfit.org
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<br><hr>
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# Dataset Name
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SN2 JCTC 2019
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### Description
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The SN2 dataset was generated as a partner benchmark dataset, along with the 'solvated protein fragments' dataset, for measuring the performance of machine learning models, in particular PhysNet, at describing chemical reactions, long-range interactions, and condensed phase systems. SN2 probes chemical reactions of methyl halides with halide anions, i.e. X- + CH3Y -> CH3X + Y-, and contains structures, for all possible combinations of X,Y = F, Cl, Br, I. The dataset also includes various structures for several smaller molecules that can be formed in fragmentation reactions, such as CH3X, HX, CHX or CH2X- as well as geometries for H2, CH2, CH3+ and XY interhalogen compounds. In total, the dataset provides reference energies, forces, and dipole moments for 452709 structurescalculated at the DSD-BLYP-D3(BJ)/def2-TZVP level of theory using ORCA 4.0.1.
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### Dataset authors
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Oliver T. Unke, Markus Meuwly
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### Publication
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https://doi.org/10.1021/acs.jctc.9b00181
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### Original data link
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https://doi.org/10.5281/zenodo.2605341
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### License
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CC-BY-4.0
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### Number of unique molecular configurations
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394653
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### Number of atoms
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2194070
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### Elements included
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Br, C, Cl, F, H, I
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### Properties included
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energy, atomic forces, cauchy stress
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<br>
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<hr>
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# Usage
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- `ds.parquet` : Aggregated dataset information.
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- `co/` directory: Configuration rows each include a structure, calculated properties, and metadata.
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- `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.
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- `cs_co_map/` directory : The mapping of configurations to configuration sets (if defined).
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<br>
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#### ColabFit Exchange documentation includes descriptions of content and example code for parsing parquet files:
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- [Parquet parsing: example code](https://materials.colabfit.org/docs/how_to_use_parquet)
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- [Dataset info schema](https://materials.colabfit.org/docs/dataset_schema)
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- [Configuration schema](https://materials.colabfit.org/docs/configuration_schema)
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- [Configuration set schema](https://materials.colabfit.org/docs/configuration_set_schema)
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- [Configuration set to configuration mapping schema](https://materials.colabfit.org/docs/cs_co_mapping_schema)
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co/co_0.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c034df8460813aa4acbeab87256d1b652304dd41364e0bc2217a83c58269f66b
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size 181935088
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ds.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f7d728d4b0c82e2b39b07085acc51a97cbef957474a69e635e33f70d66c170c
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size 19618
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