2019
DOI: 10.1039/c8nr08782b
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Multi-scale approach for modeling stability, aggregation, and network formation of nanoparticles suspended in aqueous solutions

Abstract: Multi-scale computational framework to investigate interactions between bare and surfactant-coated nanoparticles in aqueous solutions beyond classical DLVO and aggregation theories.

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Cited by 36 publications
(26 citation statements)
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“…Note that a configuration with the SDS head oriented toward the NP is also tested, and the results are reported in the Supporting Information. The alumina bare NP (BNP), Figure 2a, has a diameter of about 4 nm, and it is built following the same protocol employed by Cardellini et al 34 Beyond the BNP, we also investigate coated NPs (CNPs) with 60, 40, and 10 wrapping molecules as shown in Figure 2c. Thus, a total of four study cases are studied.…”
Section: Methodsmentioning
confidence: 99%
“…Note that a configuration with the SDS head oriented toward the NP is also tested, and the results are reported in the Supporting Information. The alumina bare NP (BNP), Figure 2a, has a diameter of about 4 nm, and it is built following the same protocol employed by Cardellini et al 34 Beyond the BNP, we also investigate coated NPs (CNPs) with 60, 40, and 10 wrapping molecules as shown in Figure 2c. Thus, a total of four study cases are studied.…”
Section: Methodsmentioning
confidence: 99%
“…In order to describe these complex interactions, the Derjaguin-Landau-Verwey-Overbeek (DLVO) theory is commonly applied (Romanello and Fidalgo de Cortalezzi, 2013;Cai et al, 2018), although it is restrictive to the balance between electrostatic and van der Waals forces. Several extensions of the DLVO theory have also been proposed to model inter-NP interactions in suspensions, for example, considering surface roughness, hydration forces, and steric effects (Wu et al, 1999;Walsh et al, 2012;Cardellini et al, 2019;Praetorius et al, 2020).…”
Section: Np Fate and Behavior In Sea Watermentioning
confidence: 99%
“…The paragraphs above consider individual mechanisms by which LDHIs affect hydrates. To assemble the whole picture, one could implement stochastic models, e.g., kinetic Monte Carlo (kMC), which has been recently implemented to quantify nanoparticle formation [51] and fluid transport across pore networks [52]. Describing stochastically the formation of hydrate plugs requires, e.g., free energy barriers concerning nucleation, growth, dissociation and agglomeration of hydrates at different conditions.…”
Section: Recent Simulationsmentioning
confidence: 99%