Alessandro Parente

Orcid: 0000-0002-7260-7026

According to our database1, Alessandro Parente authored at least 13 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving reduced-order models through nonlinear decoding of projection-dependent outputs.
Patterns, November, 2023

PCAfold 2.0 - Novel tools and algorithms for low-dimensional manifold assessment and optimization.
SoftwareX, July, 2023

An extended SST k-ω framework for the RANS simulation of the neutral Atmospheric Boundary Layer.
Environ. Model. Softw., February, 2023

A predictive physics-aware hybrid reduced order model for reacting flows.
CoRR, 2023

2022
Improving aircraft performance using machine learning: a review.
CoRR, 2022

Advancing Reacting Flow Simulations with Data-Driven Models.
CoRR, 2022

Predicting octane numbers relying on principal component analysis and artificial neural network.
Comput. Chem. Eng., 2022

2021
OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms.
Comput. Phys. Commun., 2021

2020
PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds.
SoftwareX, 2020

Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019
Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications.
Comput. Chem. Eng., 2019

2018
Feature extraction and reduced-order modelling of nitrogen plasma models using principal component analysis.
Comput. Chem. Eng., 2018

2013
Principal Component Analysis on a LES of a Squared Ribbed Channel.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013


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