Search Results - "Galassi, Riccardo"

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  1. 1

    PyCSP: A Python package for the analysis and simplification of chemically reacting systems based on Computational Singular Perturbation by Malpica Galassi, Riccardo

    Published in Computer physics communications (01-07-2022)
    “…PyCSP is a Python package for the analysis and simplification of chemically reacting systems, using algorithms based on the Computational Singular Perturbation…”
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    Journal Article
  2. 2

    An adaptive time-integration scheme for stiff chemistry based on computational singular perturbation and artificial neural networks by Malpica Galassi, Riccardo, Ciottoli, Pietro Paolo, Valorani, Mauro, Im, Hong G.

    Published in Journal of computational physics (15-02-2022)
    “…We leverage the computational singular perturbation (CSP) theory to develop an adaptive time-integration scheme for stiff chemistry based on a local,…”
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  3. 3

    An enhanced Sample-Partitioning Adaptive Reduced Chemistry method with a-priori error estimation by Pagani, Pietro, Malpica Galassi, Riccardo, Amaduzzi, Ruggero, Parente, Alessandro, Contino, Francesco

    Published in Combustion and flame (01-02-2024)
    “…Reactor-based approaches for handling the Turbulence–Chemistry-Interactions closure have the advantage of embedding finite-rate chemistry in the combustion…”
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  4. 4

    A combined PCA-CSP solver for dimensionality and stiffness reduction in reacting flow simulations by Malik, Mohammad Rafi, Malpica Galassi, Riccardo, Valorani, Mauro, Im, Hong G.

    “…In reduced-order model (ROM) development for reacting flow simulations, data-driven principal component analysis (PCA) for dimensionality reduction and the…”
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  5. 5

    Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor by Savarese, Matteo, Giuntini, Lorenzo, Malpica Galassi, Riccardo, Iavarone, Salvatore, Galletti, Chiara, De Paepe, Ward, Parente, Alessandro

    Published in International journal of hydrogen energy (02-01-2024)
    “…Low-fidelity, cost-effective, physics-based models are useful for assessing the environmental performance of novel combustion systems, especially those…”
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    Supervised Clustering for Optimal Sub-model Selection in Reactor-Based Models by Péquin, Arthur, Iavarone, Salvatore, Malpica Galassi, Riccardo, Parente, Alessandro

    Published in Flow, turbulence and combustion (01-03-2024)
    “…Reactor-based models are well-suited Turbulence-Chemistry Interactions, Sub-Grid Scale closures for Large Eddy Simulation (LES) due to their ability to account…”
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  8. 8

    Local combustion regime identification using machine learning by Malpica Galassi, Riccardo, Ciottoli, Pietro Paolo, Valorani, Mauro, Im, Hong G.

    Published in Combustion theory and modelling (02-01-2022)
    “…A new combustion regime identification methodology using the neural networks as supervised classifiers is proposed and validated. As a first proof of concept,…”
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  9. 9

    The spectral characterisation of reduced order models in chemical kinetic systems by Valorani, Mauro, Malpica Galassi, Riccardo, Ciottoli, Pietro Paolo, Najm, Habib, Paolucci, Samuel

    Published in Combustion theory and modelling (10-11-2022)
    “…The size and complexity of multi-scale problems such as those arising in chemical kinetics mechanisms has stimulated the search for methods that reduce the…”
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  10. 10

    Enhancements of the G-Scheme Framework by Valorani, Mauro, Ciottoli, Pietro Paolo, Malpica Galassi, Riccardo, Paolucci, Samuel, Grenga, Temistocle, Martelli, Emanuele

    Published in Flow, turbulence and combustion (01-12-2018)
    “…The G-Scheme is a well established framework for multi-scale adaptive model reduction, whose effectiveness was demonstrated with reference to a number of test…”
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    Chemical model reduction under uncertainty by Malpica Galassi, Riccardo, Valorani, Mauro, Najm, Habib N., Safta, Cosmin, Khalil, Mohammad, Ciottoli, Pietro P.

    Published in Combustion and flame (01-05-2017)
    “…A general strategy for analysis and reduction of uncertain chemical kinetic models is presented, and its utility is illustrated in the context of ignition of…”
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  13. 13

    Investigation of the turbulent flame structure and topology at different Karlovitz numbers using the tangential stretching rate index by Manias, Dimitris M., Tingas, Efstathios-Al, Hernández Pérez, Francisco E., Malpica Galassi, Riccardo, Paolo Ciottoli, Pietro, Valorani, Mauro, Im, Hong G.

    Published in Combustion and flame (01-02-2019)
    “…Turbulent premixed flames at high Karlovitz numbers exhibit highly complex structures in different reactive scalar fields to the extent that the definition of…”
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  14. 14

    Uncertainty quantification analysis of Reynolds-averaged Navier–Stokes simulation of spray swirling jets undergoing vortex breakdown by Liberatori, Jacopo, Galassi, Riccardo M., Valorani, Mauro, Ciottoli, Pietro P.

    “…The computational fluid dynamics-based design of next-generation aeronautical combustion chambers is challenging due to many geometrical and operational…”
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  15. 15

    Automated chemical kinetic mechanism simplification with minimal user expertise by Malpica Galassi, Riccardo, Ciottoli, Pietro P., Sarathy, S. Mani, Im, Hong G., Paolucci, Samuel, Valorani, Mauro

    Published in Combustion and flame (01-11-2018)
    “…An improved algorithm to generate skeletal mechanisms from the original detailed chemical kinetic mechanisms is proposed. The new algorithm builds on the…”
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  16. 16

    CSP-based chemical kinetics mechanisms simplification strategy for non-premixed combustion: An application to hybrid rocket propulsion by Ciottoli, Pietro P., Malpica Galassi, Riccardo, Lapenna, Pasquale E., Leccese, G., Bianchi, D., Nasuti, F., Creta, F., Valorani, M.

    Published in Combustion and flame (01-12-2017)
    “…A set of simplified chemical kinetics mechanisms for hybrid rocket applications using gaseous oxygen (GOX) and hydroxyl-terminated polybutadiene (HTPB) is…”
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  17. 17

    Large Eddy Simulation on the Effects of Pressure on Syngas/Air Turbulent Nonpremixed Jet Flames by Ciottoli, Pietro P., Lee, Bok Jik, Lapenna, Pasquale E., Malpica Galassi, Riccardo, Hernández-Pérez, Francisco E., Martelli, Emanuele, Valorani, Mauro, Im, Hong G.

    Published in Combustion science and technology (02-10-2020)
    “…The influence of increasing pressure on nonpremixed syngas/air turbulent jet flames is numerically investigated using large eddy simulations in conjunction…”
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    Analysis of Wall-flame Interaction in Laminar Non-premixed Combustion by Ciottoli, Pietro Paolo, Galassi, Riccardo Malpica, Angelilli, Lorenzo, Cuoci, Alberto, Im, Hong G., Valorani, Mauro

    Published in Combustion science and technology (25-01-2022)
    “…The study is aimed at demonstrating a methodology for the time-scale characterization of the chemistry-wall-heat-transfer interaction. The driving chemical…”
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  20. 20

    A data-driven reduced-order model for stiff chemical kinetics using dynamics-informed training by Vijayarangan, Vijayamanikandan, Uranakara, Harshavardhana A., Barwey, Shivam, Galassi, Riccardo Malpica, Malik, Mohammad Rafi, Valorani, Mauro, Raman, Venkat, Im, Hong G.

    Published in Energy and AI (01-01-2024)
    “…A data-based reduced-order model (ROM) is developed to accelerate the time integration of stiff chemically reacting systems by effectively removing the…”
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