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2020 – today
- 2024
[j9]Adrián Corrochano
, Giuseppe D'Alessio, Alessandro Parente, Soledad Le Clainche:
Hierarchical higher-order dynamic mode decomposition for clustering and feature selection. Comput. Math. Appl. 158: 36-45 (2024)- 2023
- [j8]Marco Bellegoni, Léo Cotteleer, Sampath Kumar Raghunathan Srikumar, Gabriele Mosca, Alessandro Gambale, Leonardo Tognotti, Chiara Galletti, Alessandro Parente:
An extended SST k-ω framework for the RANS simulation of the neutral Atmospheric Boundary Layer. Environ. Model. Softw. 160: 105583 (2023) - [j7]Kamila Zdybal, Alessandro Parente, James C. Sutherland:
Improving reduced-order models through nonlinear decoding of projection-dependent outputs. Patterns 4(11): 100859 (2023) - [j6]Kamila Zdybal, Elizabeth Armstrong, Alessandro Parente, James C. Sutherland:
PCAfold 2.0 - Novel tools and algorithms for low-dimensional manifold assessment and optimization. SoftwareX 23: 101447 (2023) - [i3]Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente, Soledad Le Clainche:
A predictive physics-aware hybrid reduced order model for reacting flows. CoRR abs/2301.09860 (2023) - 2022
- [j5]Steven Tipler, Giuseppe D'Alessio, Quentin Van Haute, Alessandro Parente, Francesco Contino, Axel Coussement:
Predicting octane numbers relying on principal component analysis and artificial neural network. Comput. Chem. Eng. 161: 107784 (2022) - [i2]Kamila Zdybal, Giuseppe D'Alessio, Gianmarco Aversano, Mohammad Rafi Malik, Axel Coussement, James C. Sutherland, Alessandro Parente:
Advancing Reacting Flow Simulations with Data-Driven Models. CoRR abs/2209.02051 (2022) - [i1]Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa:
Improving aircraft performance using machine learning: a review. CoRR abs/2210.11481 (2022) - 2021
- [j4]Magnus Fürst, Andrea Bertolino, Alberto Cuoci, Tiziano Faravelli, Alessio Frassoldati, Alessandro Parente:
OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms. Comput. Phys. Commun. 264: 107940 (2021) - 2020
- [j3]Kamila Zdybal, Elizabeth Armstrong, Alessandro Parente, James C. Sutherland:
PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. SoftwareX 12: 100630 (2020) - [c2]Giuseppe D'Alessio, Antonio Attili, Alberto Cuoci, Heinz Pitsch, Alessandro Parente:
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis. SOCO 2020: 460-469
2010 – 2019
- 2019
- [j2]Gianmarco Aversano, Aurélie Bellemans, Zhiyi Li, Axel Coussement, Olivier Gicquel, Alessandro Parente:
Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications. Comput. Chem. Eng. 121: 422-441 (2019) - 2018
- [j1]Aurélie Bellemans, Gianmarco Aversano, Axel Coussement, Alessandro Parente:
Feature extraction and reduced-order modelling of nitrogen plasma models using principal component analysis. Comput. Chem. Eng. 115: 504-514 (2018) - 2013
- [c1]Soledad Le Clainche Martínez, Carlo Benocci, Alessandro Parente:
Principal Component Analysis on a LES of a Squared Ribbed Channel. SOCO-CISIS-ICEUTE 2013: 259-268
Coauthor Index
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