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100+ datasets found
  1. m

    Materials Cloud three-dimensional crystals database (MC3D)

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    bin, text/markdown +1
    Updated Mar 12, 2022
  2. m

    Massive Atomic Diversity: a compact universal dataset for atomistic machine...

    • archive.materialscloud.org
    application/gzip, bin +2
    Updated Jun 26, 2025
  3. m

    The Materials Cloud 2D database (MC2D)

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    bin, json, pdf +3
    Updated Jun 24, 2022
  4. m

    Polymer descriptor data set for machine learning prediction of specific heat...

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    csv, text/markdown +2
    Updated Jun 19, 2020
  5. TCSP2.0_database

    • figshare.com
    application/gzip
    Updated Feb 10, 2025
  6. c

    Dataset for first-principles diagrammatic Monte Carlo for electron-phonon...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    text/markdown, zip
    Updated May 8, 2025
    + more versions
  7. m

    Data from: Large-scale machine-learning-assisted exploration of the whole...

    • archive.materialscloud.org
    bz2, text/markdown +2
    Updated Oct 4, 2022
  8. c

    One dimensional edge localized YSR states in CrCl₃ on NbSe₂

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    bin, png +2
    Updated Jan 22, 2025
  9. m

    Magnetic exchange interactions in monolayer CrI₃ from many-body wavefunction...

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    text/markdown, txt +1
    Updated Jan 19, 2021
  10. c

    TopoMat: a database of high-throughput first-principles calculations of...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    application/gzip +2
    Updated May 15, 2019
  11. c

    Data from: Exploring the magnetic landscape of easily-exfoliable...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    text/markdown, txt +1
    Updated May 26, 2025
  12. Materials Cloud, An Open Science Portal for FAIR Data Sharing

    • figshare.com
    mp4
    Updated Jun 5, 2023
  13. c

    Data from: Crystal-graph attention networks for the prediction of stable...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    application/gzip +3
    Updated Dec 16, 2021
  14. c

    Computational design of moiré assemblies aided by artificial intelligence

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    text/markdown, txt +1
    Updated Jun 1, 2021
  15. C

    Cloud-Based Molecular Modelling Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 24, 2025
  16. c

    A new dataset of 175k stable and metastable materials calculated with the...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    bz2, text/markdown +1
    Updated Oct 20, 2021
    + more versions
  17. M

    Materials Testing Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Dec 17, 2025
  18. m

    Tunable topological Dirac surface states and van Hove singularities in...

    • archive.materialscloud.org
    bin, text/markdown
    Updated Sep 26, 2022
  19. c

    Data from: High-throughput calculations of spin Hall conductivity in...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    7z, text/markdown +1
    Updated Dec 18, 2024
  20. B

    Bill of Materials Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 18, 2025
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Sebastiaan Huber; Marnik Bercx; Nicolas Hörmann; Martin Uhrin; Giovanni Pizzi; Nicola Marzari; Sebastiaan Huber; Marnik Bercx; Nicolas Hörmann; Martin Uhrin; Giovanni Pizzi; Nicola Marzari (2022). Materials Cloud three-dimensional crystals database (MC3D) [Dataset]. http://doi.org/10.24435/materialscloud:rw-t0

Materials Cloud three-dimensional crystals database (MC3D)

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
bin, text/markdown, zipAvailable download formats
Dataset updated
Mar 12, 2022
Dataset provided by
Materials Cloud
Authors
Sebastiaan Huber; Marnik Bercx; Nicolas Hörmann; Martin Uhrin; Giovanni Pizzi; Nicola Marzari; Sebastiaan Huber; Marnik Bercx; Nicolas Hörmann; Martin Uhrin; Giovanni Pizzi; Nicola Marzari
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The Materials Cloud three-dimensional database is a curated set of relaxed three-dimensional crystal structures based on raw CIF data taken from the external experimental databases MPDS, COD and ICSD. The raw CIF data have been imported, cleaned and parsed into a crystal structure; their ground-state has been computed using the SIRIUS-enabled pw.x code of the Quantum ESPRESSO distribution, and tight tolerance criteria for the calculations using the SSSP protocols.

This entire procedure is encoded into an AiiDA workflow which automates the process while keeping full data provenance. Here, since the original source data of the ICSD and MPDS databases are copyrighted, only the provenance of the final SCF calculation on the relaxed structures can be made publicly available.

The MC3D ID numbers come from a list of unique "parent" stoichiometric structures that has been created and curated from a collection of these experimental databases. Once a parent structure has been optimized using density-functional theory, it is made public and added to the online Discover section of the Materials Cloud (as mentioned, copyright might prevent publishing the original parent). Note that since not all structures have been calculated, some ID numbers are missing from the public version of the database. The full ID of each structure also contains as an appended modifier the functional that was used in the calculations. Since the ID number points to the same unique parent, mc3d-1234/pbe and mc3d-1234/pbesol have the same starting point, but have been then relaxed according to their respective functionals.

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