English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Systematic atomic structure datasets for machine learning potentials: Application to defects in magnesium

Poul, M., Huber, L., Bitzek, E., & Neugebauer, J. (2023). Systematic atomic structure datasets for machine learning potentials: Application to defects in magnesium. Physical Review B, 107: 104103. doi:10.1103/PhysRevB.107.104103.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-000E-7FC6-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-7FC7-4
Genre: Journal Article

Files

show Files
hide Files
:
PhysRevB.107.104103.pdf (Publisher version), 3MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-000E-7FC8-3
Name:
PhysRevB.107.104103.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
2023
Copyright Info:
The Authors
License:
https://creativecommons.org/licenses/by/4.0/

Locators

show

Creators

show
hide
 Creators:
Poul, Marvin1, Author           
Huber, Liam1, Author           
Bitzek, Erik2, 3, Author           
Neugebauer, Jörg4, Author           
Affiliations:
1Thermodynamics and Kinetics of Defects, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3291769              
2Department of Materials Science and Engineering, Institute i, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany, ou_persistent22              
3Microstructure and Mechanics, Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863344              
4Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863337              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2023-03-13
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1103/PhysRevB.107.104103
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Review B
  Abbreviation : Phys. Rev. B
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Woodbury, NY : American Physical Society
Pages: - Volume / Issue: 107 Sequence Number: 104103 Start / End Page: - Identifier: ISSN: 1098-0121
CoNE: https://pure.mpg.de/cone/journals/resource/954925225008