Marco Panesi

According to our database, Marco Panesi authored at least 12 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics.

Ivan Zanardi, Simone Venturi, Marco Panesi

CoRR, July, 2025

Physics-Based Machine Learning Closures and Wall Models for Hypersonic Transition-Continuum Boundary Layer Predictions.

Ashish S. Nair, Narendra Singh, Marco Panesi, Justin A. Sirignano, Jonathan F. MacArt

CoRR, July, 2025

Petrov-Galerkin model reduction for thermochemical nonequilibrium gas mixtures.

Ivan Zanardi, Alberto Padovan, Daniel J. Bodony, Marco Panesi

J. Comput. Phys., 2025

Multi-group maximum entropy method: Modeling translational non-equilibrium.

Anthony Chang, Narendra Singh, Marco Panesi

J. Comput. Phys., 2025

2024

Information theoretic clustering for coarse-grained modeling of non-equilibrium gas dynamics.

Christian Jacobsen, Ivan Zanardi, Sahil Bhola, Karthik Duraisamy, Marco Panesi

J. Comput. Phys., 2024

Scalable nonlinear manifold reduced order model for dynamical systems.

Ivan Zanardi, Alejandro N. Diaz, Seung Whan Chung, Marco Panesi, Youngsoo Choi

CoRR, 2024

2022

Adaptive Physics-Informed Neural Operator for Coarse-Grained Non-Equilibrium Flows.

Ivan Zanardi, Simone Venturi, Marco Panesi

CoRR, 2022

2020

A computational model for nanosecond pulse laser-plasma interactions.

Alessandro Munafò, Andrea Alberti, Carlos Pantano, Jonathan B. Freund, Marco Panesi

J. Comput. Phys., 2020

2015

Systematic validation of non-equilibrium thermochemical models using Bayesian inference.

Kenji Miki, Marco Panesi, Serge Prudhomme

J. Comput. Phys., 2015

2014

Computational challenges for simulations related to the NASA electric arc shock tube (EAST) experiments.

Dmitry V. Kotov, H. C. Yee, Marco Panesi, Dinesh K. Prabhu, Alan A. Wray

J. Comput. Phys., 2014

2012

Corrigendum to "Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen" [JCOMP 231(9) (2012) 3871-3886].

Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme

J. Comput. Phys., 2012

Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic Nitrogen.

Kenji Miki, Marco Panesi, Ernesto E. Prudencio, Serge Prudhomme

J. Comput. Phys., 2012