Tootfinder

Master equation study of three-body recombination of nitrogen and oxygen in non-equilibrium hypersonic flows
Aakanksha Notey, Sung Min Jo, Marco Panesi
https://arxiv.org/abs/2506.17452

Master equation study of three-body recombination of nitrogen and oxygen in non-equilibrium hypersonic flows
This work aims to study the energy transfer and recombination processes in N$_{2}$$\left(^{1}\sum^{+}_{g}\right)$+N$\left(^{4}S_{u}\right)$ and O$_{2}$$\left(^{3}\sum^{+}_{g}\right)$+O$\left(^{3}P_{2}\right)$ chemical systems when the system is suddenly cooled in a 0-D isothermal reactor thereby inducing strong non-equilibrium. A state-to-state (StS) study of the non-equilibrium phenomenon is crucial for developing accurate and efficient reduced-order models that can accurately capture the ther…

Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
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- Petrov-Galerkin model reduction for collisional-radiative argon plasma
Ivan Zanardi, Alessandro Meini, Alberto Padovan, Daniel J. Bodony, Marco Panesi

MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
Ivan Zanardi, Simone Venturi, Marco Panesi
https://arxiv.org/abs/2507.14341

MENO: Hybrid Matrix Exponential-based Neural Operator for Stiff ODEs. Application to Thermochemical Kinetics
We introduce MENO (''Matrix Exponential-based Neural Operator''), a hybrid surrogate modeling framework for efficiently solving stiff systems of ordinary differential equations (ODEs) that exhibit a sparse nonlinear structure. In such systems, only a few variables contribute nonlinearly to the dynamics, while the majority influence the equations linearly. MENO exploits this property by decomposing the system into two components: the low-dimensional nonlinear part is modeled using conventional n…