2020
DOI: 10.1007/s11144-020-01818-4
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Simulations of oxidation of metal nanoparticles with a grain boundary inside

Abstract: The generic 2D lattice Monte Carlo simulations presented herein are focused on the spatio-temporal kinetics of oxidation of metal nanoparticles composed of two grains separated by a single grain boundary. The oxidation is assumed to occur via inward diffusion of interstitial oxygen ions in the oxide. The results of simulations illustrate that the regimes of oxidation can range from one where the presence of grains is negligible and the oxide shell is formed at the periphery of a whole nanoparticle to one where… Show more

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Cited by 3 publications
(5 citation statements)
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“…Regarding morphological aspects, during the oxidation process, the tungsten nanoparticles tend to lose their nano-scale dimension ( Figure 3 ), fusing in crystalline micro sized particles ( Figure 4 ). The oxidation of the WNPs is favored by the diffusion of oxygen along the paths defined by the facets of the nanocrystallites present in the structure of the flower like nanoparticles [ 17 ] and by the possible crystalline defects [ 34 ]. Apart from the oxidation effect, further heating of the sample (up to 900 °C) leads to the recrystallization of the oxidized particles and the fusion of particles that are in contact.…”
Section: Resultsmentioning
confidence: 99%
“…Regarding morphological aspects, during the oxidation process, the tungsten nanoparticles tend to lose their nano-scale dimension ( Figure 3 ), fusing in crystalline micro sized particles ( Figure 4 ). The oxidation of the WNPs is favored by the diffusion of oxygen along the paths defined by the facets of the nanocrystallites present in the structure of the flower like nanoparticles [ 17 ] and by the possible crystalline defects [ 34 ]. Apart from the oxidation effect, further heating of the sample (up to 900 °C) leads to the recrystallization of the oxidized particles and the fusion of particles that are in contact.…”
Section: Resultsmentioning
confidence: 99%
“…The reaction becomes of first-order because, if the cell drawn from A contains a particle, it is sure that in the same position in B, there will also be a particle. Then, the rates of change in the concentrations of A and B end up depending only on a random number, and in the corresponding deterministic model, they are governed by Equation (6). In this scenario, the two models (stochastic and deterministic) coincide-see the first set of curves on the left in Figure 4-with the deterministic analytical solution for first order with k n = 1/N represented by the green curve.…”
Section: Stochastic Methods Without Diffusion and Small Neighborhoodmentioning
confidence: 97%
“…In this condition, particle A reacts with particle B upon direct contact. The ODE for this case is given by Equation (6).…”
Section: Deterministic Modelmentioning
confidence: 99%
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