| Towards efficient simulations of non-equilibrium chemistry in hypersonic flows: a physics-informed neural network framework I Zanardi, S Venturi, M Panesi AIAA SCITECH 2022 Forum, 1639, 2022 | 10 | 2022 |
| Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows I Zanardi, S Venturi, M Panesi Scientific reports 13 (1), 15497, 2023 | 8 | 2023 |
| Efficient quasi-classical trajectory calculations by means of neural operator architectures MS Priyadarshini, S Venturi, I Zanardi, M Panesi Physical Chemistry Chemical Physics 25 (20), 13902-13912, 2023 | 4 | 2023 |
| Towards Efficient Simulations of Non-Equilibrium Chemistry in Hypersonic Flows: Neural Operator-Enhanced 1-D Shock Simulations I Zanardi, S Venturi, A Munafò, M Panesi AIAA SCITECH 2023 Forum, 1202, 2023 | 3 | 2023 |
| Information theoretic clustering for coarse-grained modeling of non-equilibrium gas dynamics C Jacobsen, I Zanardi, S Bhola, K Duraisamy, M Panesi Journal of Computational Physics 507, 112977, 2024 | 1 | 2024 |
| Towards Efficient Simulations of Non-Equilibrium Chemistry in Hypersonic Flows: Application of Neural Operators in Multidimensional CFD Simulations I Zanardi, S Venturi, M Panesi AIAA SCITECH 2024 Forum, 0773, 2024 | | 2024 |
| Effects of Non-Equilibrium Oxygen Dissociation and Vibrational Relaxation in Hypersonic Flows I Zanardi Politecnico di Milano, Italy, 2020 | | 2020 |
Marco PanesiProfessor of Aerospace Engineering, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
