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Updated: May 28, 2026

Metal-silicate Partitioning at High Pressure and Temperature: Experimental Methods and a Protocol to Suppress Highly Siderophile Element Inclusions
Published on: June 13, 2015
Evidence for atomic mixing via multiple intermediates during the dynamic interconversion of silicate oligomers in
Kim E Jelfs1, Edwin Flikkema, Stefan T Bromley
1Department of Chemistry, University of Liverpool, Crown Street, Liverpool, L69 7ZD, UK.
Researchers explored silicon-based silicate species (Si8 and Si16) to understand atomic mixing in solutions. This study proposes a new interpretation of experimental observations for silicate oligomers.
Area of Science:
- Computational chemistry
- Materials science
- Solution chemistry
Background:
- Silicate oligomers are crucial in various chemical processes.
- Understanding atomic mixing in these species is key to controlling their properties.
- Previous interpretations of experimental data lack comprehensive mechanistic detail.
Purpose of the Study:
- To investigate the structures of Si(8)- and Si(16)-based silicate species.
- To elucidate the mechanisms behind experimentally observed atomic mixing in silicate oligomers.
- To propose a novel, multi-mechanism interpretation for this phenomenon.
Main Methods:
- Global optimization searches were employed to identify stable silicate structures.
- Ab initio calculations were used to determine the electronic and structural properties.
- Experimental observations of atomic mixing were analyzed in conjunction with theoretical findings.
Main Results:
- Distinct structural motifs were identified for Si(8) and Si(16) silicate species.
- A multi-mechanism model was developed to explain the observed atomic mixing.
- The proposed mechanisms provide a deeper understanding of silicate oligomer dynamics in solution.
Conclusions:
- The study provides a refined understanding of silicate speciation and reactivity.
- The new interpretation of atomic mixing advances the field of inorganic solution chemistry.
- This work offers a theoretical framework for predicting the behavior of silicate systems.
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