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Dataset supporting thesis titled: 'Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning'

Dataset supporting thesis titled: 'Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning'
Dataset supporting thesis titled: 'Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning'
This ZIP archive contains multiple subfolders, each corresponding to a separate test case implemented as part of the doctoral thesis. Each folder includes the scripts used for running and analyzing the respective case.
University of Southampton
Immordino, Gabriele
ed9626cc-aa2b-40be-b376-0868967e5e65
Immordino, Gabriele
ed9626cc-aa2b-40be-b376-0868967e5e65

Immordino, Gabriele (2025) Dataset supporting thesis titled: 'Data-driven modelling of nonlinear aerodynamics in high-speed aircraft using machine learning'. University of Southampton doi:10.5258/SOTON/D3670 [Dataset]

Record type: Dataset

Abstract

This ZIP archive contains multiple subfolders, each corresponding to a separate test case implemented as part of the doctoral thesis. Each folder includes the scripts used for running and analyzing the respective case.

Text
README.md - Dataset
Available under License Creative Commons Attribution.
Download (4kB)
Archive
Scripts_to_Soton.zip - Dataset
Available under License Creative Commons Attribution.
Download (761MB)

More information

Published date: 2025

Identifiers

Local EPrints ID: 504819
URI: http://eprints.soton.ac.uk/id/eprint/504819
DOI: doi:10.5258/SOTON/D3670
PURE UUID: 468a604a-e6c3-4903-b99f-1bf8e27146a0
ORCID for Gabriele Immordino: ORCID iD orcid.org/0000-0003-2718-0120

Catalogue record

Date deposited: 19 Sep 2025 16:34
Last modified: 20 Sep 2025 02:12

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Contributors

Creator: Gabriele Immordino ORCID iD

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