journal article·2020-04-28

Elucidation of Bottom-Up Growth of CaCO3 Involving Prenucleation Clusters from Structure Predictions and Decomposition of Globally Optimized (CaCO3)n Nanoclusters

Mingyang Chen, Ashley S. McNeill, Yiqin Hu, David A. Dixon

ACS Nano· Volume 14· Issue 4
Publisher page

Abstract

Low-energy minima structures for (CaCO3)n, n ≤ 28, are predicted using bottom-up genetic algorithms in conjunction with density functional theory electronic structure calculations, in comparison with the frozen and relaxed top-down clusters generated by cuts from the calcite, vaterite, and aragonite crystal structures. Similarities in structural motifs for the bottom-up and relaxed top-down are revealed using a fragment recognition technique. Fragment energy decomposition analysis shows that the bottom-up and relaxed top-down clusters belong to two classes of amorphous clusters with distinct intracluster energy distributions, despite their structural similarity. The bottom-up clusters with >20 formula units are surface stabilized with negative surface energy densities. In contrast, the top-down clusters are interior stabilized with positive surface energy densities. We prove that the sign of the surface energy density determines whether the nucleation reaction energy as a function of nuclear size has a maximum or a minimum. The surface-stabilized bottom-up clusters are proposed to be a type of prenucleation cluster at the minimum of the nucleation reaction energy. A mechanism for mineralization of CaCO3 involving prenucleation clusters and nonclassical growth pathway is proposed on the basis of our theoretical findings, which is consistent with previous titration experiments.
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Research context

OpenAlex topics: Calcium Carbonate Crystallization and Inhibition · Paleontology and Stratigraphy of Fossils · Geological and Geochemical Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Green Innovation, School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China

Shunde Graduate School of University of Science and Technology Beijing, Foshan 528000, China

Beijing Computational Science Research Center, Beijing 100193, China

Department of Chemistry and Biochemistry, The University of Alabama, Shelby Hall, Tuscaloosa, Alabama 35487-0336, United States

Funding

National Natural Science Foundation of China · University of Alabama · Scientific and Technological Innovation Foundation of Shunde Graduate School, University of Science and Technology Beijing

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