We explore the systematic construction of kinetic models from in silico reaction data for the decomposition of nitromethane. Our models are constructed in a computationally affordable manner by using reactions discovered through accelerated molecular dynamics simulations using the ReaxFF reactive force field. The reaction paths are then optimized to determine reaction rate parameters. We introduce a reaction barrier correction scheme that combines accurate thermochemical data from density functional theory with ReaxFF minimal energy paths. We validate our models across different thermodynamic regimes, showing predictions of gas phase CO and NO concentrations and high-pressure induction times that are similar to experimental data. The kinetic models are analyzed to find fundamental decomposition reactions in different thermodynamic regimes.
Interactive molecular dynamics in
virtual reality (IMD-VR) simulations
provide a digital molecular playground for students as an alternative
or complement to traditional molecular modeling kits or 2D illustrations.
Previous IMD-VR studies have used molecular mechanics to enable simulations
of macromolecules such as proteins and nanostructures for the classroom
setting with considerable success. Here, we present the InteraChem
molecular visualizer, intended for reactive IMD-VR simulation using
semiempirical and ab initio methods. InteraChem visualizes
not only the molecular geometry but also (1) isosurfaces such as molecular
orbitals and electrostatic potentials and (2) two-dimensional graphs
of time-varying simulation quantities such as kinetic/potential energy,
internal coordinates, and user-applied force. Additionally, InteraChem
employs speech recognition to facilitate user interaction and introduces
a novel “atom happiness” visualization using emojis
to indicate the energetic feasibility of a particular bonding arrangement.
We include a set of accompanying exercises that we have used to teach
chemical reactivity in small molecular systems.
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