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....

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Jimmy-Xuan, Munro, Jason M., Horton, Matthew K., Huck, Patrick, Dwaraknath, Shyam, Persson, Kristin A.
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