2012
DOI: 10.1007/s00161-012-0258-5
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Activation energies for nucleation and growth and critical cluster size dependence in JMAK analyses of kinetic Monte-Carlo simulations of precipitation

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Cited by 9 publications
(9 citation statements)
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“…This leads to a slower transformation rate compared to Eq. (1) as interfering nuclei will hinder each other from growing further, similar to Ostwald ripening as described and illustrated by Molnar et al [44]. However, if the nuclei are positioned far from each other with less risk of interfering, the impingement is weak with a faster transformation rate as compared to Eq.…”
Section: Kinetic Analysismentioning
confidence: 82%
“…This leads to a slower transformation rate compared to Eq. (1) as interfering nuclei will hinder each other from growing further, similar to Ostwald ripening as described and illustrated by Molnar et al [44]. However, if the nuclei are positioned far from each other with less risk of interfering, the impingement is weak with a faster transformation rate as compared to Eq.…”
Section: Kinetic Analysismentioning
confidence: 82%
“…However, this model is not often the best choice for hydrothermal reactions (Lasaga, 1998;Kasioptas et al, 2010) because the JMAK model assumes that the activation energy and reaction order are not time dependent. This presumption follows from the following constraints for the JMAK model: 1) uniform nucleation at random sites in an infinite system with isotropic growth; 2) no change in nucleation, crystallization, and dissolution mechanisms or activation energies; and 3) high supersaturation (Lasaga, 1998;Molnar et al, 2012;Rheingans and Mittemeijer, 2013). In hydrothermal systems, the availability of nucleation sites may decrease; the types of nucleation sites and reaction mechanisms may change; and the saturation level will decrease due to precipitation (De Blanco et al, 1986;Molnar et al, 2012).…”
Section: Background For Jmak Analysismentioning
confidence: 99%
“…This presumption follows from the following constraints for the JMAK model: 1) uniform nucleation at random sites in an infinite system with isotropic growth; 2) no change in nucleation, crystallization, and dissolution mechanisms or activation energies; and 3) high supersaturation (Lasaga, 1998;Molnar et al, 2012;Rheingans and Mittemeijer, 2013). In hydrothermal systems, the availability of nucleation sites may decrease; the types of nucleation sites and reaction mechanisms may change; and the saturation level will decrease due to precipitation (De Blanco et al, 1986;Molnar et al, 2012). For instance, in their study of the replacement of aragonite by apatite in aqueous solutions from 80 to 190 °C, Kasioptas et al (2010) report that the activation energies increase linearly while the reaction order increases exponentially with increasing temperature.…”
Section: Background For Jmak Analysismentioning
confidence: 99%
“…This is generally not fulfilled in most cases but owing to the simplicity of the KJMA equation it is widely used among experimentalists for transformations in, e.g., steel [25][26][27], polymers [28], and ceramic coatings [29]. Due to the prerequisites of a homogenous nucleation there are modified versions of the KJMA equation to account for grain boundary nucleation [30,31]. In Paper V, Eq.…”
Section: Nucleation and Growthmentioning
confidence: 99%