A general-purpose machine-learning force field for bulk and nanostructured phosphorus

Atomistic simulations of phosphorus represent a challenge due to the element’s highly diverse allotropic structures. Here the authors propose a general-purpose machine-learning force field for elemental phosphorus, which can describe a broad range of relevant bulk and nanostructured allotropes.

Bibliographic Details
Main Authors: Volker L. Deringer, Miguel A. Caro, Gábor Csányi
Format: Article
Language:English
Published: Nature Portfolio 2020-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19168-z
_version_ 1818991276499927040
author Volker L. Deringer
Miguel A. Caro
Gábor Csányi
author_facet Volker L. Deringer
Miguel A. Caro
Gábor Csányi
author_sort Volker L. Deringer
collection DOAJ
description Atomistic simulations of phosphorus represent a challenge due to the element’s highly diverse allotropic structures. Here the authors propose a general-purpose machine-learning force field for elemental phosphorus, which can describe a broad range of relevant bulk and nanostructured allotropes.
first_indexed 2024-12-20T20:07:42Z
format Article
id doaj.art-7d1920e3b9eb483f990f704cafbd6cea
institution Directory Open Access Journal
issn 2041-1723
language English
last_indexed 2024-12-20T20:07:42Z
publishDate 2020-10-01
publisher Nature Portfolio
record_format Article
series Nature Communications
spelling doaj.art-7d1920e3b9eb483f990f704cafbd6cea2022-12-21T19:27:54ZengNature PortfolioNature Communications2041-17232020-10-0111111110.1038/s41467-020-19168-zA general-purpose machine-learning force field for bulk and nanostructured phosphorusVolker L. Deringer0Miguel A. Caro1Gábor Csányi2Department of Chemistry, Inorganic Chemistry Laboratory, University of OxfordDepartment of Electrical Engineering and Automation, Aalto UniversityEngineering Laboratory, University of CambridgeAtomistic simulations of phosphorus represent a challenge due to the element’s highly diverse allotropic structures. Here the authors propose a general-purpose machine-learning force field for elemental phosphorus, which can describe a broad range of relevant bulk and nanostructured allotropes.https://doi.org/10.1038/s41467-020-19168-z
spellingShingle Volker L. Deringer
Miguel A. Caro
Gábor Csányi
A general-purpose machine-learning force field for bulk and nanostructured phosphorus
Nature Communications
title A general-purpose machine-learning force field for bulk and nanostructured phosphorus
title_full A general-purpose machine-learning force field for bulk and nanostructured phosphorus
title_fullStr A general-purpose machine-learning force field for bulk and nanostructured phosphorus
title_full_unstemmed A general-purpose machine-learning force field for bulk and nanostructured phosphorus
title_short A general-purpose machine-learning force field for bulk and nanostructured phosphorus
title_sort general purpose machine learning force field for bulk and nanostructured phosphorus
url https://doi.org/10.1038/s41467-020-19168-z
work_keys_str_mv AT volkerlderinger ageneralpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus
AT miguelacaro ageneralpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus
AT gaborcsanyi ageneralpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus
AT volkerlderinger generalpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus
AT miguelacaro generalpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus
AT gaborcsanyi generalpurposemachinelearningforcefieldforbulkandnanostructuredphosphorus