PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro-and Micro-Scales

D D'Agostino, M Diez, M Felli, A Serani - Journal of Marine Science and …, 2023 - mdpi.com
This study investigates the underlying mechanisms governing the evolution of tip vortices in
the far field of a naval propeller wake. To achieve this, a novel approach utilizing data …

Assessing the interplay of shape and physical parameters by unsupervised nonlinear dimensionality reduction methods

A Serani, D D'Agostino, EF Campana… - Journal of Ship …, 2020 - onepetro.org
The article presents an exploratory study on the application to ship hydrodynamics of
unsupervised nonlinear design-space dimensionality reduction methods, assessing the …

Augmented design-space exploration by nonlinear dimensionality reduction methods

D D'Agostino, A Serani, EF Campana… - … Learning, Optimization, and …, 2019 - Springer
The paper presents the application of nonlinear dimensionality reduction methods to shape
and physical data in the context of hull-form design. These methods provide a reduced …

A lipschitzian global optimization algorithm and machine learning for fluid dynamics

D D'Agostino - 2021 - iris.uniroma1.it
The research conducted and resumed in this thesis covers two different topics. In chapter 1, I
focused my research on the development of a new Global Optimization algorithm informed …

NICOP-Analytical and Numerical Methods for Identifying Principal Components of Heterogeneous Physical Data

M Diez, A Serani… - 2020 - apps.dtic.mil
The objective of this NICOP project is the development and assessment of analytical and
numerical methods for identifying principal components from heterogeneous physical data …