Zobrazeno 1 - 10 of 40 pro vyhledávání: '"Simone Venturi"'
1
Akademický článek
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows
Autor: Ivan Zanardi, Simone Venturi, Marco Panesi
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023)
Abstract This work proposes a new machine learning (ML)-based paradigm aiming to enhance the computational efficiency of non-equilibrium reacting flow simulations while ensuring compliance with the underlying physics. The framework combines dimension
Externí odkaz: https://doaj.org/article/db743d5c00d84f7a837ea810eb2f76c6
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2
Efficient quasi-classical trajectory calculations by means of neural operator architectures
Autor: Maitreyee Sharma Priyadarshini, Simone Venturi, Ivan Zanardi, Marco Panesi
Publikováno v: Physical Chemistry Chemical Physics. 25:13902-13912
An accurate description of non-equilibrium chemistry relies on rovibrational state-to-state (StS) kinetics data, which can be obtained through the quasi-classical trajectory (QCT) method for high-energy collisions. However, these calculations still r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e5ed7afcf142179eead725ff71ae370
https://doi.org/10.1039/d2cp05506f
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3
Comprehensive Study of HCN: Potential Energy Surfaces, State-to-State Kinetics, and Master Equation Analysis
Autor: Maitreyee Sharma Priyadarshini, Sung Min Jo, Simone Venturi, David W. Schwenke, Richard L. Jaffe, Marco Panesi
Publikováno v: The Journal of Physical Chemistry A. 126:8249-8265
Understanding the kinetics of the HCN system is critical to several disciplines in science and engineering, including interstellar chemistry, atmospheric reentry, and combustion, to name a few. This paper constructs a rovibrational state-specific kin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc0b5dacbc4c0318d0f267588d244ab9
https://doi.org/10.1021/acs.jpca.2c03959
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6
Akademický článek
High-speed tracked vehicle model order reduction for static and dynamic simulations
Autor: Luca Dimauro, Simone Venturini, Antonio Tota, Enrico Galvagno, Mauro Velardocchia
Publikováno v: Defence Technology, Vol 38, Iss , Pp 89-110 (2024)
In this paper, a model order reduction strategy is adopted for the static and dynamic behaviour simulation of a high-speed tracked vehicle. The total number of degree of freedom of the structure is condensed through a selection of interface degrees o
Externí odkaz: https://doaj.org/article/7a165907e1704a48b171f09ddfb1e92d
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10
SVD Perspectives for Augmenting DeepONet Flexibility and Interpretability
Autor: Simone Venturi, Tiernan Casey
Deep operator networks (DeepONets) are powerful architectures for fast and accurate emulation of complex dynamics. As their remarkable generalization capabilities are primarily enabled by their projection-based attribute, we investigate connections w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0e864de1a24526dda682cf48501653
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