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ReaxFF-l g: Correction of the ReaxFF Reactive Force Field for London Dispersion, with Applications to the Equations of State for Energetic Materials
Abstract
The practical levels of density functional theory (DFT) for solids (LDA, PBE, PW91, B3LYP) are well-known not to account adequately for the London dispersion (van der Waals attraction) so important in molecular solids, leading to equilibrium volumes for molecular crystals ~10-15% too high. The ReaxFF reactive force field is based on fitting such DFT calculations and suffers from the same problem. In the paper we extend ReaxFF by adding a London dispersion term with a form such that it has low gradients (lg) at valence distances leaving the already optimized valence interactions intact but behaves as 1/R(6) for large distances. We derive here these lg corrections to ReaxFF based on the experimental crystal structure data for graphite, polyethylene (PE), carbon dioxide, and nitrogen and for energetic materials: hexahydro-1,3,5-trinitro-1,3,5-s-triazine (RDX), pentaerythritol tetranitrate (PETN), 1,3,5-triamino-2,4,6-trinitrobenzene (TATB), and nitromethane (NM). After this dispersion correction the average error of predicted equilibrium volumes decreases from 18.5 to 4.2% for the above systems. We find that the calculated crystal structures and equation of state with ReaxFF-lg are in good agreement with experimental results. In particular, we examined the phase transition between α-RDX and γ-RDX, finding that ReaxFF-lg leads to excellent agreement for both the pressure and volume of this transition occurring at ~4.8 GPa and ~2.18 g/cm(3) density from ReaxFF-lg vs 3.9 GPa and ~2.21 g/cm(3) from experiment. We expect ReaxFF-lg to improve the descriptions of the phase diagrams for other energetic materials.
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The ReaxFF reactive force-field: development, applications and future directions
Senftle, T. P., Hong, S., Islam, M. M., Kylasa, S. B., Zheng, Y., Shin, Y. K., Junkermeier, C., Engel-Herbert, R., Janik, M. J., Aktulga, H. M., et al. (2016) · npj Computational Materials · doi:10.1038/npjcompumats.2015.11 · Cited by 2,363
ReaxFF Parameter Optimization with Monte-Carlo and Evolutionary Algorithms: Guidelines and Insights
Shchygol, G., Yakovlev, A., Trnka, T., van Duin, A. C. T., & Verstraelen, T. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b00769 · Cited by 85
Metadata
- Authors
- Liu, L., Liu, Y., Zybin, S. V., Sun, H., & Goddard, W. A.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-09-21
- Volume
- 115
- Issue
- 40
- Pages
- 11016-11022
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W2048726254
- Cited by
- 566
- References
- 24
- FWCI
- 5.73
- Type
- journal article
- Language
- en
- Open access
- closed
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