Principal Component Analysis on a LES of a Squared Ribbed Channel. - Soledad Le Clainche Martínez; Carlo Benocci; Alessandro Parente (SOCO-CISIS-ICEUTE, 2013)

Feature extraction and reduced-order modelling of nitrogen plasma models using principal component analysis. - Aurélie Bellemans; Gianmarco Aversano; Axel Coussement; Alessandro Parente (Comput. Chem. Eng., 2018)

Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications. - Gianmarco Aversano; Aurélie Bellemans; Zhiyi Li; Axel Coussement; Olivier Gicquel; Alessandro Parente (Comput. Chem. Eng., 2019)

Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis. - Giuseppe D'Alessio; Antonio Attili; Alberto Cuoci; Heinz Pitsch; Alessandro Parente (SOCO, 2020)

PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. - Kamila Zdybal; Elizabeth Armstrong; Alessandro Parente; James C. Sutherland (SoftwareX, 2020)

OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms. - Magnus Fürst; Andrea Bertolino; Alberto Cuoci; Tiziano Faravelli; Alessio Frassoldati; Alessandro Parente (Comput. Phys. Commun., 2021)

Predicting octane numbers relying on principal component analysis and artificial neural network. - Steven Tipler; Giuseppe D'Alessio; Quentin Van Haute; Alessandro Parente; Francesco Contino; Axel Coussement (Comput. Chem. Eng., 2022)

Advancing Reacting Flow Simulations with Data-Driven Models. - Kamila Zdybal; Giuseppe D'Alessio; Gianmarco Aversano; Mohammad Rafi Malik; Axel Coussement; James C. Sutherland; Alessandro Parente (CoRR, 2022)

Improving aircraft performance using machine learning: a review. - Soledad Le Clainche; Esteban Ferrer 001; Sam Gibson; Elisabeth Cross; Alessandro Parente; Ricardo Vinuesa (CoRR, 2022)

A predictive physics-aware hybrid reduced order model for reacting flows. - Adrián Corrochano; Rodolfo S. M. Freitas; Alessandro Parente; Soledad Le Clainche (CoRR, 2023)

An extended SST k-ω framework for the RANS simulation of the neutral Atmospheric Boundary Layer. - Marco Bellegoni; Léo Cotteleer; Sampath Kumar Raghunathan Srikumar; Gabriele Mosca; Alessandro Gambale; Leonardo Tognotti; Chiara Galletti; Alessandro Parente (Environ. Model. Softw., 2023)

PCAfold 2.0 - Novel tools and algorithms for low-dimensional manifold assessment and optimization. - Kamila Zdybal; Elizabeth Armstrong; Alessandro Parente; James C. Sutherland (SoftwareX, 2023)

Improving reduced-order models through nonlinear decoding of projection-dependent outputs. - Kamila Zdybal; Alessandro Parente; James C. Sutherland (Patterns, 2023)

Hierarchical higher-order dynamic mode decomposition for clustering and feature selection. - Adrián Corrochano; Giuseppe D'Alessio; Alessandro Parente; Soledad Le Clainche (Comput. Math. Appl., 2024)