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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About me
About me
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
publications
Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: A Physics‑Informed Neural Network Framework Permalink
Published in AIAA SCITECH 2022 Forum, 2022
Recommended citation: I. Zanardi, S. Venturi, and M. Panesi. "Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: A Physics‑Informed Neural Network Framework". In: AIAA SCITECH 2022 Forum. American Institute of Aeronautics and Astronautics, Jan. 2022. doi: 10.2514/6.2022-1639.
Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: Neural Operator‑Enhanced 1‑D Shock Simulations Permalink
Published in AIAA SCITECH 2023 Forum, 2023
Recommended citation: I. Zanardi, S. Venturi, A. Munafó, and M. Panesi. "Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: Neural Operator‑Enhanced 1‑D Shock Simulations". In: AIAA SCITECH 2023 Forum. American Institute of Aeronautics and Astronautics, Jan. 2023. doi: 10.2514/6.2023-1202.
Efficient quasi‑classical trajectory calculations by means of neural operator architectures Permalink
Published in Physical Chemistry Chemical Physics, 2023
Recommended citation: M. S. Priyadarshini, S. Venturi, I. Zanardi, and M. Panesi. "Efficient quasi‑classical trajectory calculations by means of neural operator architectures". In: Physical Chemistry Chemical Physics 25 (May 2023). doi: 10.1039/D2CP05506F.
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows Permalink
Published in Scientific Reports, 2023
Recommended citation: I. Zanardi, S. Venturi, and M. Panesi. "Adaptive physics‑informed neural operator for coarse‑grained non‑equilibrium flows". In: Scientific Reports 13 (Sept. 2023), doi: 10.1038/s41598-023-41039-y.
Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: Application of Neural Operators in Multidimensional CFD Simulations Permalink
Published in AIAA SCITECH 2024 Forum, 2024
Recommended citation: I. Zanardi, S. Venturi, and M. Panesi. "Towards Efficient Simulations of Non‑Equilibrium Chemistry in Hypersonic Flows: Application of Neural Operators in Multidimensional CFD Simulations". In: AIAA SCITECH 2024 Forum. American Institute of Aeronautics and Astronautics, Jan. 2024. doi: 10.2514/6.2024-0773.
Information Theoretic Clustering for Coarse-grained Modeling of Non-equilibrium Gas Dynamics Permalink
Published in Journal of Computational Physics, 2024
Recommended citation: C. Jacobsen, I. Zanardi, S. Bhola, K. Duraisamy, and M. Panesi. "Information theoretic clustering for coarse‑grained modeling of non‑equilibrium gas dynamics". In: Journal of Computational Physics 507 (2024). doi: 10.1016/j.jcp.2024.112977.
Scalable nonlinear manifold reduced order model for dynamical systems Permalink
Published in NeurIPS, 2024
Recommended citation: I. Zanardi, A. N. Diaz, S. W. Chung, M. Panesi, and Y. Choi. Scalable nonlinear manifold reduced order model for dynamical systems. Nov. 2024. doi: 10.48550/arXiv.2412.00507.
Petrov‑Galerkin Model Reduction for Thermochemical Nonequilibrium Gas Mixtures: Application to the N2+N System Permalink
Published in AIAA SCITECH 2025 Forum, 2025
Recommended citation: I. Zanardi, A. Padovan, D. J. Bodony, and M. Panesi. "Petrov‑Galerkin Model Reduction for Thermochemical Nonequilibrium Gas Mixtures: Application to the N2+N System". In: AIAA SCITECH 2025 Forum. American Institute of Aeronautics and Astronautics, Jan. 2025. doi: 10.2514/6.2025-2524.
Petrov-Galerkin model reduction for thermochemical nonequilibrium gas mixtures Permalink
Published in Journal of Computational Physics, 2025
Recommended citation: I. Zanardi, A. Padovan, D. J. Bodony, and M. Panesi. "Petrov‑Galerkin model reduction for thermochemical nonequilibrium gas mixtures". In: Journal of Computational Physics 533 (Apr. 2025), doi: 10.1016/j.jcp.2025.113999.
Defining Foundation Models for Computational Science: A Call for Clarity and Rigor Permalink
Published in arXiv, 2025
Recommended citation: Y. Choi, S. W. Cheung, Y. Kim, P.‑H. Tsai, A. N. Diaz, I. Zanardi, S. W. Chung, D. M. Copeland, C. Kendrick, W. Anderson, T. Iliescu, and M. Heinkenschloss. Defining Foundation Models for Computational Science: A Call for Clarity and Rigor. May 2025. doi: 10.48550/arXiv.2505.22904.
Petrov-Galerkin model reduction for collisional-radiative argon plasma Permalink
Published in arXiv, 2025
Recommended citation: I. Zanardi, A. Meini, A. Padovan, D. J. Bodony, and M. Panesi. Petrov‑Galerkin model reduction for collisional‑radiative argon plasma. June 2025. doi: 10.48550/arXiv.2506.05483.
MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics Permalink
Published in arXiv, 2025
Recommended citation: I. Zanardi, S. Venturi, and M. Panesi. MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics. July 2025. doi: 10.48550/arXiv.2507.14341.
research
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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