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Supporting data for the paper "Neural networks for learning macroscopic chemotactic sensitivity from microscopic models"

Documentation:: The attached files contain the supporting computer codes and data for the paper: "Neural networks for learning macroscopic chemotactic sensitivity from microscopic models" by Radek Erban

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APA Style

Erban, R. (2026). Supporting data for the paper "Neural networks for learning macroscopic chemotactic sensitivity from microscopic models". University of Oxford.

MLA Style

Erban, R. Supporting Data for the Paper "Neural Networks for Learning Macroscopic Chemotactic Sensitivity from Microscopic Models". University of Oxford, 2026.

Chicago Style

Erban, R. 2026. Supporting Data for the Paper "Neural Networks for Learning Macroscopic Chemotactic Sensitivity from Microscopic Models". University of Oxford.
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Files:: SIALS2026.zip

(zip, 557.9KB, Terms of use)

Authors/Creators

+ Erban, R More by this author/creator

Institution:: University of Oxford
Division:: MPLS
Department:: Mathematical Institute
Oxford college:: Merton College
Role:: Creator
ORCID:: 0000-0001-8470-3763

+ Engineering and Physical Sciences Research Council More from this funder

Funder identifier:: https://ror.org/0439y7842
Grant:: EP/V047469/1

Publisher:: University of Oxford
Publication date:: 2026
DOI:: 10.5287/ora-xqdkj4xx7

Language:: English
Pubs id:: 2357183
UUID:: uuid_4217f18c-25a6-44a5-a649-824168a345c0
Local pid:: pubs:2357183
Deposit date:: 2026-01-08
ARK identifier:: ark:/29072/ora_4217f18c25a644a5a649824168a345c0

Terms of use

Copyright date:: 2026

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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