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100+ datasets found
  1. m

    The Materials Cloud 2D database (MC2D)

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

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

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

    Materials Cloud three-dimensional crystals database (MC3D)

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

    The JuHemd (Jülich-Heusler-magnetic-database) of the Monte Carlo simulated...

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    json, text/markdown +1
    Updated Feb 17, 2022
  5. f

    TCSP2.0_database

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

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

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

    A new dataset of 415k stable and metastable materials calculated with the...

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    bz2, text/markdown +1
    Updated May 1, 2023
    + more versions
  9. 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
  10. Materials Cloud, An Open Science Portal for FAIR Data Sharing

    • figshare.com
    mp4
    Updated Jun 5, 2023
  11. Material Informatics Market Size, Share, 2025-2030 Outlook

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Aug 8, 2025
  12. c

    Data from: Accurate and efficient protocols for high-throughput...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    bin, text/markdown +1
    Updated Apr 17, 2025
  13. m

    Data from: Three-dimensional to layered halide perovskites: a parameter-free...

    • archive.materialscloud.org
    • materialscloud-archive-failover.cineca.it
    text/markdown, zip
    Updated Apr 2, 2025
  14. c

    Machine learning on multiple topological materials datasets

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    application/gzip, bin +1
    Updated Feb 26, 2025
  15. 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
  16. w

    Shenzhen-tree-cloud-packaging-materials-co.-LTD (Company) - Reverse Whois...

    • whoisdatacenter.com
    csv
    Updated Jun 13, 2014
  17. c

    Data from: Data-driven studies of magnetic two-dimensional materials

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    csv, rtf +1
    Updated May 20, 2019
  18. M

    Magnetic Recording Material Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jul 12, 2025
    + more versions
  19. c

    Evolving scattering networks for material classification, stealthy...

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    text/markdown, zip
    Updated Dec 19, 2022
    + more versions
  20. c

    Data from: Chemical Shifts in Molecular Solids by Machine Learning Datasets

    • materialscloud-archive-failover.cineca.it
    • archive.materialscloud.org
    bin, text/markdown +1
    Updated May 27, 2019
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Cite
Davide Campi; Nicolas Mounet; Marco Gibertini; Giovanni Pizzi; Nicola Marzari; Davide Campi; Nicolas Mounet; Marco Gibertini; Giovanni Pizzi; Nicola Marzari (2022). The Materials Cloud 2D database (MC2D) [Dataset]. http://doi.org/10.24435/materialscloud:36-nd

The Materials Cloud 2D database (MC2D)

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
zip, txt, pdf, bin, json, text/markdownAvailable download formats
Dataset updated
Jun 24, 2022
Dataset provided by
Materials Cloud
Authors
Davide Campi; Nicolas Mounet; Marco Gibertini; Giovanni Pizzi; Nicola Marzari; Davide Campi; Nicolas Mounet; Marco Gibertini; 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

Two-dimensional (2D) materials are among the most promising candidates for beyond silicon electronic and optoelectronic applications. Recently, their recognized importance, sparked a race to discover and characterize new 2D materials. Within few years the number of experimentally exfoliated or synthesized 2D materials went from a couple of dozens to few hundreds while the number theoretically predicted compounds reached a few thousands. In 2018 we first contributed to this effort with the identification of 1825 compounds that are either easily (1036) or potentially (789) exfoliable from experimentally known 3D compounds. In the present work we report on the new materials recently added to the 2D-portfolio thanks to the extension of the screening to an additional experimental database (MPDS) as well as the most up-to-date versions of the two databases (ICSD and COD) used in our previous work. This expansion led to the discovery of an additional 1252 unique monolayers bringing the total to 3077 compounds and, notably, almost doubling the number of easily exfoliable materials (2004). Moreover, we optimized the structural properties of all the materials (regardless of their binding energy or number of atoms in the unit cell) as isolated mono-layer and explored their electronic band structure. This archive entry contains the database of 2D materials in particular it contains the structural parameters for all the 3077 structures of the global Material Cloud 2D database as extracted from their bulk 3D parent, 2710 optimized 2D structures and 2345 electronic band structure together with the provenance of all data and calculations as stored by AiiDA.

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