2020
DOI: 10.1016/j.jaerosci.2020.105558
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Silica nanocluster binding rate coefficients from molecular dynamics trajectory calculations

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Cited by 17 publications
(9 citation statements)
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“…For example, MD has been employed for the analysis of droplet evaporation, precursor reaction, particle nucleation, , particle–particle interactions (e.g., adhesion, coalescence/sintering, and crystal-phase transformation), and gas–surface interactions, among others. Recent reviews ,,, also emphasize the importance of MD simulation with regard to the gas-phase particle synthesis and extensively discuss the large variety of nanomaterials that has already been investigated by MD (e.g., soot, TiO 2 , ,,,, SiO 2 , Si, Cu, Ag, Au, Ag–Au, Au–Mg, Si–Ag, etc.). To highlight the potential of MD in the context of multiscale modeling of flame aerosol synthesis, this section will solely address some paradigms, such as the derivation of sinter kinetics, crystal-phase transformations, and precursor kinetics, that have been conducted exclusively for single metal oxides (i.e., TiO 2 ).…”
Section: Principles In Process Design and Computational Reactor Modelingmentioning
confidence: 99%
“…For example, MD has been employed for the analysis of droplet evaporation, precursor reaction, particle nucleation, , particle–particle interactions (e.g., adhesion, coalescence/sintering, and crystal-phase transformation), and gas–surface interactions, among others. Recent reviews ,,, also emphasize the importance of MD simulation with regard to the gas-phase particle synthesis and extensively discuss the large variety of nanomaterials that has already been investigated by MD (e.g., soot, TiO 2 , ,,,, SiO 2 , Si, Cu, Ag, Au, Ag–Au, Au–Mg, Si–Ag, etc.). To highlight the potential of MD in the context of multiscale modeling of flame aerosol synthesis, this section will solely address some paradigms, such as the derivation of sinter kinetics, crystal-phase transformations, and precursor kinetics, that have been conducted exclusively for single metal oxides (i.e., TiO 2 ).…”
Section: Principles In Process Design and Computational Reactor Modelingmentioning
confidence: 99%
“…While neglecting long-range interactions between molecules systematically underestimates the collision rates, [28][29][30][31] the enhancement factor for weakly interacting neutral molecules, such as CO 2 , is likely to be rather small. In equilibrium with bulk liquid (i.e.…”
Section: Theoretical Framework Of Nucleationmentioning
confidence: 99%
“…Also the effect of long-range interactions and possible non-accomodation of collision rates are neglected in the classical view of nucletion. [28][29][30][31]…”
Section: Simulation-based Improvement On Cntmentioning
confidence: 99%
“…Particles stick inelastically upon collision with a sticking probability of unity. This is a reasonably good assumption for flame-made (amorphous), small silica nanoclusters (0.5-1 nm) exhibiting sticking probability of 1 for impact velocities at least up to 1,000 m/s, 32 as well as for larger amorphous silica spheres with radii up to 15 nm, 33 as evidenced by molecular dynamics simulations. Here, at least 92% of the 0.5 nm-initial primary particles travel with velocities lower than 1,000 m/s.…”
Section: Numerical Implementationmentioning
confidence: 54%