2022
DOI: 10.1016/j.fuel.2022.125465
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ReaxFF simulations on the combustion of Al and n-butanol nanofluid

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Cited by 19 publications
(4 citation statements)
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“…The MD simulation is highly dependent on the potential energy surface, which can be determined by ab initio calculations or an empirical method. The empirical potential approach (e.g., ReaxFF , ) has been widely used in investigating the initial decomposition pathways of energetic materials induced by thermal and mechanical stimulation. Recently, MD simulations have been performed to reveal the atomic insights behind the mechanical and structural properties of AP. Yeh and Andzelm investigated the structural and energetic properties of the ammonium perchlorate (AP) crystal in bulk and at interfaces using molecular dynamics (MD) simulations.…”
Section: Introductionmentioning
confidence: 99%
“…The MD simulation is highly dependent on the potential energy surface, which can be determined by ab initio calculations or an empirical method. The empirical potential approach (e.g., ReaxFF , ) has been widely used in investigating the initial decomposition pathways of energetic materials induced by thermal and mechanical stimulation. Recently, MD simulations have been performed to reveal the atomic insights behind the mechanical and structural properties of AP. Yeh and Andzelm investigated the structural and energetic properties of the ammonium perchlorate (AP) crystal in bulk and at interfaces using molecular dynamics (MD) simulations.…”
Section: Introductionmentioning
confidence: 99%
“…20 The Al/C/H/O force field used in this study was taken from Hong et al, 29 which was optimized against quantum mechanics data as well as experimental data, 29 and has been employed by others for the simulation of Al nanoparticles in many scenarios similar to this work, such as the carbon coating on Al nanoparticles, 29 the combustion of Al nanoaggregates in high-speed flows, 10 the interaction between graphene oxides and Al nanoparticles, 17 and the combustion of Al/n-butanol nanofluid. 30 2.2. Simulation Details.…”
Section: Methodsmentioning
confidence: 99%
“…Its reactive force field potential function is derived from experimental data and density functional theory, so the accuracy is close to quantum computation and does not require the predetermination of chemical reaction paths in the system [ 30 ]. ReaxFF MD has been widely used in the study of pyrolysis [ 31 ], combustion [ 32 ], explosions [ 33 ], oxidation [ 34 ], catalytic [ 35 ], and other systems involving physical chemistry. It provides a promising means of exploring the chemical behavior of complex molecular systems.…”
Section: Methodsmentioning
confidence: 99%