Data

Band gap predictions for 2.2 million 2D heterostructures

La Trobe University
Alexander Corletto (Aggregated by) Amanda V. Ellis (Aggregated by) David Winkler (Aggregated by) Joe Shapter (Aggregated by) Mike J Ford (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/6118488448d34&rft.title=Band gap predictions for 2.2 million 2D heterostructures&rft.identifier=10.26181/6118488448d34&rft.publisher=La Trobe University&rft.description=A .csv file containing the band gap predictions for 2.2M 2D heterostructures&rft.creator=Alexander Corletto&rft.creator=Amanda V. Ellis&rft.creator=David Winkler&rft.creator=Joe Shapter&rft.creator=Mike J Ford&rft.creator=Nick A. Shepelin&rft.creator=Peter C. Sherrell&rft.date=2021&rft_rights= https://creativecommons.org/licenses/by-sa/4.0/&rft_rights=The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.&rft_subject=Cheminformatics and quantitative structure-activity relationships&rft_subject=Computational chemistry&rft_subject=Atomic and molecular physics&rft_subject=Nanochemistry&rft_subject=Supramolecular chemistry&rft_subject=Optical properties of materials&rft_subject=Theoretical quantum chemistry&rft_subject=Macromolecular and materials chemistry not elsewhere classified&rft_subject=Theory and design of materials&rft_subject=2D materials&rft_subject=heterostructures&rft_subject=active learning&rft_subject=machine learning&rft_subject=bandgap materials&rft_subject=Cheminformatics and Quantitative Structure-Activity Relationships&rft_subject=Cheminformatics&rft_subject=Computational Chemistry&rft_subject=Molecular Physics&rft_subject=Nanochemistry and Supramolecular Chemistry&rft_subject=Optical Properties of Materials&rft_subject=Quantum Chemistry&rft_subject=Synthesis of Materials&rft_subject=Theory and Design of Materials&rft.type=dataset&rft.language=English Access the data
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The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

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A .csv file containing the band gap predictions for 2.2M 2D heterostructures

Issued: 27 08 2021

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2D materials | Atomic and molecular physics | Cheminformatics | Cheminformatics and Quantitative Structure-Activity Relationships | Cheminformatics and quantitative structure-activity relationships | Computational Chemistry | Computational chemistry | Macromolecular and materials chemistry not elsewhere classified | Molecular Physics | Nanochemistry | Nanochemistry and Supramolecular Chemistry | Optical Properties of Materials | Optical properties of materials | Quantum Chemistry | Supramolecular chemistry | Synthesis of Materials | Theoretical quantum chemistry | Theory and Design of Materials | Theory and design of materials | active learning | bandgap materials | heterostructures | machine learning |

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