lammps/examples/reax/AB576c6315c7f1efficient_neuronet
lammps/examples/reax/AB
576c6315c7f1efficient_neuronet
AB
AB
README
README
Disclaimer: Using these force fields for systems they have not been explicitly trained against may produce unrealistic results. Please see the README file in each subdirectory for more detailed information.
Ammonia Borane:
The follow information is reproduced from: "Weismiller, M.R.; van Duin, A.C.T.; Lee, J.; Yetter, R.A. J. Phys. Chem. A 2010, 114, 5485-5492" - QM data were generated describing the single and (if relevant) double and triple bond dissociation for all B/N/O/H combinations. These data were used to derive initial ReaxFF bond parameters, and all calculations were performed using DFT with the B3LYP functional and the Pople 6-311G** basis set. - The training set was then extended with QM data describing angular distortions in a set of small AB-related (AB = H3N-BH3) molecules. These data were used to derive the initial ReaxFF angular parameters. - The training set was extended with reaction barriers for key reaction steps such as H2 release from AB, dimerization of H2B-NH2 and reaction energies associated with H2 release from AB and with AB oxidation.
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