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

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

doi:10.1038/s41598-021-85463-4

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

Chemical Engineering

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Abstract

Correction to: Scientific Reports https://doi.org/10.1038/s41598-020-73329-0, published online 01 October 2020

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://public.cranfield.ac.uk/e102081/DeepMP/.”

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://public.cranfield.ac.uk/e102081/DeepMP/.”

Original language	English
Article number	5726
Journal	Scientific Reports
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41598-021-85463-4
Publication status	Published - 5 Mar 2021

ASJC Scopus subject areas

General

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AlexiadisA2021PublisherFinal published version, 728 KBLicence: Creative Commons: Attribution (CC BY)

1 Article

The duality between particle methods and artificial neural networks
Alexiadis, A., Simmons, M. J. H., Stamatopoulos, K., Batchelor, H. K. & Moulitsas, I., 1 Oct 2020, In: Scientific Reports. 10, 1, 16247.
Research output: Contribution to journal › Article › peer-review

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abstract = "Correction to: Scientific Reports https://doi.org/10.1038/s41598-020-73329-0, published online 01 October 2020This 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://public.cranfield.ac.uk/e102081/DeepMP/.”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://public.cranfield.ac.uk/e102081/DeepMP/.”",

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N2 - Correction to: Scientific Reports https://doi.org/10.1038/s41598-020-73329-0, published online 01 October 2020This 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://public.cranfield.ac.uk/e102081/DeepMP/.”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://public.cranfield.ac.uk/e102081/DeepMP/.”

AB - Correction to: Scientific Reports https://doi.org/10.1038/s41598-020-73329-0, published online 01 October 2020This 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://public.cranfield.ac.uk/e102081/DeepMP/.”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://public.cranfield.ac.uk/e102081/DeepMP/.”

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

Abstract

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The duality between particle methods and artificial neural networks

Cite this