Cargando…
A representation-independent electronic charge density database for crystalline materials
In addition to being the core quantity in density-functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. The charge density is data-rich since it contains information about all the electrons in the system....
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616845/ https://www.ncbi.nlm.nih.gov/pubmed/36307448 http://dx.doi.org/10.1038/s41597-022-01746-z |
_version_ | 1784820729501450240 |
---|---|
author | Shen, Jimmy-Xuan Munro, Jason M. Horton, Matthew K. Huck, Patrick Dwaraknath, Shyam Persson, Kristin A. |
author_facet | Shen, Jimmy-Xuan Munro, Jason M. Horton, Matthew K. Huck, Patrick Dwaraknath, Shyam Persson, Kristin A. |
author_sort | Shen, Jimmy-Xuan |
collection | PubMed |
description | In addition to being the core quantity in density-functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. The charge density is data-rich since it contains information about all the electrons in the system. With the increasing prevalence of machine-learning tools in materials sciences, a data-rich object like the charge density can be utilized in a wide range of applications. The database presented here provides a modern and user-friendly interface for a large and continuously updated collection of charge densities as part of the Materials Project. In addition to the charge density data, we provide the theory and code for changing the representation of the charge density which should enable more advanced machine-learning studies for the broader community. |
format | Online Article Text |
id | pubmed-9616845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96168452022-10-30 A representation-independent electronic charge density database for crystalline materials Shen, Jimmy-Xuan Munro, Jason M. Horton, Matthew K. Huck, Patrick Dwaraknath, Shyam Persson, Kristin A. Sci Data Data Descriptor In addition to being the core quantity in density-functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. The charge density is data-rich since it contains information about all the electrons in the system. With the increasing prevalence of machine-learning tools in materials sciences, a data-rich object like the charge density can be utilized in a wide range of applications. The database presented here provides a modern and user-friendly interface for a large and continuously updated collection of charge densities as part of the Materials Project. In addition to the charge density data, we provide the theory and code for changing the representation of the charge density which should enable more advanced machine-learning studies for the broader community. Nature Publishing Group UK 2022-10-28 /pmc/articles/PMC9616845/ /pubmed/36307448 http://dx.doi.org/10.1038/s41597-022-01746-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Shen, Jimmy-Xuan Munro, Jason M. Horton, Matthew K. Huck, Patrick Dwaraknath, Shyam Persson, Kristin A. A representation-independent electronic charge density database for crystalline materials |
title | A representation-independent electronic charge density database for crystalline materials |
title_full | A representation-independent electronic charge density database for crystalline materials |
title_fullStr | A representation-independent electronic charge density database for crystalline materials |
title_full_unstemmed | A representation-independent electronic charge density database for crystalline materials |
title_short | A representation-independent electronic charge density database for crystalline materials |
title_sort | representation-independent electronic charge density database for crystalline materials |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616845/ https://www.ncbi.nlm.nih.gov/pubmed/36307448 http://dx.doi.org/10.1038/s41597-022-01746-z |
work_keys_str_mv | AT shenjimmyxuan arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT munrojasonm arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT hortonmatthewk arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT huckpatrick arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT dwaraknathshyam arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT perssonkristina arepresentationindependentelectronicchargedensitydatabaseforcrystallinematerials AT shenjimmyxuan representationindependentelectronicchargedensitydatabaseforcrystallinematerials AT munrojasonm representationindependentelectronicchargedensitydatabaseforcrystallinematerials AT hortonmatthewk representationindependentelectronicchargedensitydatabaseforcrystallinematerials AT huckpatrick representationindependentelectronicchargedensitydatabaseforcrystallinematerials AT dwaraknathshyam representationindependentelectronicchargedensitydatabaseforcrystallinematerials AT perssonkristina representationindependentelectronicchargedensitydatabaseforcrystallinematerials |