Publisher correction: The duality between particle methods and artificial neural networks

A. Alexiadis*, M.J.H. Simmons, K. Stamatopoulos, H. K. Batchelor, I. Moulitsas

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

14 Downloads (Pure)

Abstract

This Article contains a typographical error in the Code availability section. "The code used for the simulations is freely available under the GNU General Public License v3 and can be downloaded from the Cranfield repository https ://publi c.cranf​ield.ac.uk/e1020 81/DeepM P/." should read: "The code used for the simulations is freely available under the GNU General Public License v3 and can be downloaded from the Cranfield repository http://publi c.cranf​ield.ac.uk/e1020 81/DeepM P/."

Original languageEnglish
Article number5726
Number of pages1
JournalScientific Reports
Volume11
DOIs
Publication statusPublished - 5 Mar 2021

Keywords

  • publisher correction
  • duality
  • particle methods
  • artificial neural networks

Fingerprint

Dive into the research topics of 'Publisher correction: The duality between particle methods and artificial neural networks'. Together they form a unique fingerprint.

Cite this