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paolomaria.zolla@uniroma1.it
Paolo Maria Zolla
Assegnista di ricerca
Struttura:
DIPARTIMENTO DI INGEGNERIA MECCANICA E AEROSPAZIALE
E-mail:
paolomaria.zolla@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Low-Order Modeling of Combustion Instability: A Comprehensive Analysis of the BKD Test Case
AIAA SciTech Forum 2024
2024
Integrated Optimization of a Three-Stage Clustered Hybrid Rocket Launcher using Neural Networks
AIAA SciTech Forum 2024
2024
Low-order modeling approach for the prediction of transverse combustion instabilities in multi-injector engines
CEAS SPACE JOURNAL
2024
Multi-disciplinary optimization of single-stage hybrid rockets for lunar ascent
ACTA ASTRONAUTICA
2024
Multi-disciplinary Optimization of Single-stage Hybrid Rocket with Swirl Injection for Lunar Ascent
AIAA Scitech 2023 Forum
2023
Sensitivity Study on a Low Order Model for the Analysis of Transverse Combustion Instability
Aerospace Europe Conference 2023 – 10ᵀᴴ EUCASS – 9ᵀᴴ CEAS
2023
Surrogate Neural Network Model for Integrated Ascent Trajectory Optimization of Throttleable Hybrid Rockets
Proceedings of the International Astronautical Congress, IAC
2023
T(H)RUST: applied research activities on liquid rocket propulsion at Sapienza University of Rome
Proceedings of the International Astronautical Congress, IAC
2023
A design strategy for water-based noise suppression systems in liquid rocket engines firing tests
CEAS SPACE JOURNAL
2022
Surrogate neural network for rapid flight performance evaluation of hybrid rocket engines
JOURNAL OF SPACECRAFT AND ROCKETS
2022
Low-order modeling of combustion instability using a hybrid real/ideal gas mixture model
9th european conference for aeronautics and space sciences, 2022
2022
A Hybrid Real/Ideal Gas Mixture Model in the Framework of Low Order Modeling of Combustion Instability
Proceedings of AIAA Propulsion and Energy Forum 2021
2021
Machine Learning Techniques for Flight Performance Prediction of Hybrid Rocket Engines
AIAA Propulsion and Energy Forum, 2021
2021
A Computational Tool for the Design of Hybrid Rockets
AEROTECNICA MISSILI & SPAZIO
2021
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