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Ab initio state-specific N2 + O dissociation and exchange modeling for molecular simulations
Han Luo1, Marat Kulakhmetov1, Alina Alexeenko1
1Aeronautics and Astronautics, Purdue University, West Lafayette, Indiana 47907, USA.
This study uses quasi-classical trajectory calculations to model nitrogen-oxygen reactions, finding vibrational excitation significantly enhances dissociation and exchange reactions. New models accurately predict reaction rates, outperforming existing methods under non-equilibrium conditions.
Area of Science:
- Chemical Kinetics
- Computational Chemistry
- Atmospheric Chemistry
Background:
- Nitrogen-oxygen reactions are crucial in high-temperature environments like combustion and atmospheric reentry.
- Accurate state-specific reaction rates are needed for modeling these complex systems.
- Previous models often struggle with non-equilibrium conditions and vibrational effects.
Purpose of the Study:
- To compute state-specific cross sections and rates for N2 + O reactions.
- To develop new, compact models (QCT-SSD and QCT-SSE) for dissociation and exchange reactions.
- To validate these models against experimental data and other theoretical approaches.
Main Methods:
- Quasi-classical trajectory (QCT) calculations using ab initio potential energy surfaces.
- Simulation of translational energies up to 23 eV and temperatures from 1000 K to 20,000 K.
- Development of QCT-derived state-specific dissociation (QCT-SSD) and exchange (QCT-SSE) models.
Main Results:
- Vibrational favoring observed for both dissociation and exchange reactions, with higher vibrational states (v=30) showing significantly larger cross sections.
- Exchange reaction exhibits state-dependent activation energy and a cross-section maximum near the dissociation energy.
- The developed QCT-SSD and QCT-SSE models accurately represent over 1 million cross sections with minimal parameters.
Conclusions:
- The new QCT-derived models provide accurate state-specific rates for N2 + O reactions, crucial for computational fluid dynamics and direct simulation Monte Carlo.
- These models outperform existing methods, particularly under non-equilibrium and vibrationally-excited conditions.
- The findings highlight the importance of vibrational state in chemical reaction dynamics for accurate modeling.
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