Zeo-1: A computational data set of zeolite structures

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{
  "revision": 3, 
  "id": "923", 
  "created": "2021-07-07T16:11:51.632331+00:00", 
  "metadata": {
    "doi": "10.24435/materialscloud:48-qs", 
    "status": "published", 
    "title": "Zeo-1: A computational data set of zeolite structures", 
    "mcid": "2021.103", 
    "license_addendum": null, 
    "_files": [
      {
        "description": "Data repository, individual hash sums and helper scripts", 
        "key": "zeo-1.tar.gz", 
        "size": 164869888, 
        "checksum": "md5:d772ff9c9b0ef5d0f05e19b3c24e13d3"
      }, 
      {
        "description": "Brief description of the repository contents", 
        "key": "README.md", 
        "size": 827, 
        "checksum": "md5:f9bc35aee8e77b5b3d4b4e3b631d0033"
      }
    ], 
    "owner": 446, 
    "_oai": {
      "id": "oai:materialscloud.org:923"
    }, 
    "keywords": [
      "zeolite", 
      "silica", 
      "DFT", 
      "bulk phase", 
      "density-functional theory", 
      "machine learning", 
      "Horizon Europe", 
      "H2020", 
      "Marie Curie Fellowship"
    ], 
    "conceptrecid": "922", 
    "is_last": false, 
    "references": [
      {
        "type": "Journal reference", 
        "comment": "Paper where the data is described and discussed", 
        "citation": "L. Komissarov, T. Verstraelen, Sci. Data (submitted)"
      }
    ], 
    "publication_date": "Jul 07, 2021, 20:55:36", 
    "license": "Creative Commons Attribution 4.0 International", 
    "id": "923", 
    "description": "Fast, empirical potentials are gaining increased popularity in the computational fields of materials science, physics and chemistry. With it, there is a rising demand for high-quality reference data for the training and validation of such models. In contrast to research that is mainly focused on small organic molecules, this work presents a data set of geometry-optimized bulk phase zeolite structures. Covering a majority of framework types from the Database of Zeolite Structures, this set includes over thirty thousand geometries. Calculated properties include system energies, nuclear gradients and stress tensors at each point, making the data suitable for model development, validation or referencing applications focused on periodic silica systems.", 
    "version": 1, 
    "contributors": [
      {
        "email": "leonid.komissarov@ugent.be", 
        "affiliations": [
          "Center for Molecular Modeling (CMM), Ghent University, Technologiepark-Zwijnaarde 46, B-9052, Ghent, Belgium"
        ], 
        "familyname": "Komissarov", 
        "givennames": "Leonid"
      }, 
      {
        "email": "toon.verstraelen@ugent.be", 
        "affiliations": [
          "Center for Molecular Modeling (CMM), Ghent University, Technologiepark-Zwijnaarde 46, B-9052, Ghent, Belgium"
        ], 
        "familyname": "Verstraelen", 
        "givennames": "Toon"
      }
    ], 
    "edited_by": 100
  }, 
  "updated": "2021-10-27T18:39:47.626980+00:00"
}