Silicate Dissolution Mechanism from Metakaolinite Using Density Functional Theory.
activation energy
density functional theory (DFT)
dissolution
improved dimer method
metakaolinite
Journal
Nanomaterials (Basel, Switzerland)
ISSN: 2079-4991
Titre abrégé: Nanomaterials (Basel)
Pays: Switzerland
ID NLM: 101610216
Informations de publication
Date de publication:
27 Mar 2023
27 Mar 2023
Historique:
received:
22
02
2023
revised:
17
03
2023
accepted:
26
03
2023
medline:
14
4
2023
entrez:
13
4
2023
pubmed:
14
4
2023
Statut:
epublish
Résumé
Metakaolin (MK) is a high-quality, reactive nanomaterial that holds promising potential for large-scale use in improving the sustainability of cement and concrete production. It can replace cement due to its pozzolanic reaction with calcium hydroxide and water to form cementitious compounds. Therefore, understanding the dissolution mechanism is crucial to fully comprehending its pozzolanic reactivity. In this study, we present an approach for computing the activation energies required for the dissolution of metakaolin (MK) silicate units at far-from-equilibrium conditions using the improved dimer method (IDM) and the transition-state theory (TST) within density functional theory (DFT). Four different models were prepared to calculate the activation energies required for breaking oxo-bridging bonds between silicate or aluminate units. Our results showed that the activation energy for breaking the oxo-bridging bond to a silicate neighbor is higher than that to an aluminate neighbor due to the ionic interaction. However, for complete silicate tetrahedra dissolution, a higher activation energy is required for breaking the oxo-bridging bond to the aluminate neighbor compared to the silicate neighbor. The findings provide methodology for missing input data to predict the mesoscopic dissolution rate, e.g., by the atomistic kinetic Monte Carlo (KMC) upscaling approach.
Identifiants
pubmed: 37049290
pii: nano13071196
doi: 10.3390/nano13071196
pmc: PMC10096740
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : 446266595
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