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Updated: Dec 25, 2025

Ammonia Synthesis at Low Pressure
Published on: August 23, 2017
Reaction Rates in Nitromethane under High Pressure from Density Functional Tight Binding Molecular Dynamics
Romain Perriot1, M J Cawkwell1, Enrique Martinez1
1Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
Density functional tight binding molecular dynamics simulations reveal stochastic reaction pathways for nitromethane (NM) under high pressure and temperature. A two-step model for NM explosion, ignition/explosion, was developed and compared to experimental data.
Area of Science:
- Computational Chemistry
- Materials Science
- Chemical Kinetics
Background:
- Nitromethane (NM) is a high explosive requiring detailed understanding of its reaction dynamics.
- Investigating NM's reactivity under extreme conditions is crucial for safety and performance prediction.
Purpose of the Study:
- To determine the reaction rates of nitromethane (NM) under high pressure (14-28 GPa) and temperature (1450-1850 K).
- To develop a simplified model for NM explosion dynamics.
- To provide reaction rates for implementation in hydrocodes.
Main Methods:
- Density Functional Tight Binding (DFTB) molecular dynamics (MD) simulations were employed.
- Multiple MD simulations were run to capture stochastic reaction behaviors.
- Data was fitted to a Frank-Kamenetskii model to extract kinetic parameters.
Main Results:
- DFTB-MD simulations revealed stochastic reaction times and chemical pathways for NM.
- A two-step model (ignition/explosion) was devised, identifying aci-ion formation as a key early step.
- Prefactors, activation energies, and volumes for ignition and explosion stages were extracted.
Conclusions:
- The study provides an efficient method for investigating high explosive reactivity using electronic structure-based MD simulations.
- The developed two-step model accurately represents NM explosion dynamics and can be integrated into hydrocodes.
- This research offers valuable kinetic data for understanding and modeling energetic materials.
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