The thermal decomposition of CL-20 (C6H6N12O12)#
This tutorial is proposed to develop a Deep Potential for the thermal decomposition of CL-20, perform MD simulations, and then use the ReacNetGenerator to analyze reactions.
This tutorial introduces:
Liqun Cao, Jinzhe Zeng, Bo Wang, Tong Zhu, and John Z H Zhang. Ab initio neural network MD simulation of thermal decomposition of a high energy material CL-20/TNT. Phys. Chem. Chem. Phys., 24:11801–11811, 2022. doi:10.1039/D2CP00710J.
In this study, a workflow was developed for making reference datasets with DP-GEN program. The details of each module in the workflow are given in Cao et al. [CZW+22].
During the DP-GEN workflow, each iteration includes three steps: QM calculation, training of the NN PES, and reactive molecular dynamic simulations.
CP2K package was used for DFT calculation, which can be obtained at CP2k.[KuhneIDelBen+20] PBE-D3 method was employed in this example, because it is generally used for DFT calculation of energetic materials.
Training of the NN PES#
Reactive molecular dynamic simulations#
After training, the well-behaved NN PESs can be used for running molecular dynamics simulation by LAMMPS interfaced with DeePMD-kit program.[TAB+22]
Analysis by ReacNetGenerator#
DP-GEN software will produce a series of reactive simulation trajectory. Here we take the final trajectory. The trajectory of a single frame can be integrated into the entire trajectory, and the format of trajectory here is
dump. The reaction mechanism can be obtained by the following command:
reacnetgenerator -i cl20.lammpstrj -a H C N O --type dump --nohmm
The results can be viewed at this page.