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Updated: Apr 27, 2026

From Molecules to Materials: Engineering New Ionic Liquid Crystals Through Halogen Bonding
Published on: March 24, 2018
Double bubbles: a new structural motif for enhanced electron-hole separation in solids
A A Sokol1, M R Farrow, J Buckeridge
1Department of Chemistry, Kathleen Lonsdale Materials Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK. a.sokol@ucl.ac.uk m.farrow@ucl.ac.uk j.buckeridge@ucl.ac.uk scott.woodley@ucl.ac.uk.
Novel composite materials show efficient electron-hole separation for photocatalysis. The edge-sharing (GaN)12@(ZnO)48 framework efficiently separates holes and electrons, indicating potential for advanced photocatalytic applications.
Area of Science:
- Materials Science
- Computational Chemistry
- Photocatalysis
Background:
- Developing efficient photocatalysts is crucial for sustainable energy solutions.
- Composite materials offer tunable properties for enhanced performance.
- Understanding electron-hole separation mechanisms is key to designing effective photocatalysts.
Purpose of the Study:
- To investigate electron-hole separation in novel composite systems for photocatalysis.
- To explore the potential of SOD and LTA superlattices and core@shell frameworks.
- To identify promising materials for photocatalytic applications.
Main Methods:
- Construction of pure and mixed SOD and LTA superlattices of (ZnO)12 and (GaN)12.
- Creation of core@shell single component frameworks with larger (ZnO)48 and (GaN)48 bubbles.
- Calculation of enthalpies of formation for all constructed systems.
Main Results:
- Enthalpies of formation for the studied systems were found to be comparable to fullerenes.
- The edge-sharing framework of (GaN)12@(ZnO)48 double bubbles demonstrated the most efficient electron-hole separation.
- Holes were localized on nitrogen in the smaller bubbles, and electrons on zinc in the larger cages.
Conclusions:
- The (GaN)12@(ZnO)48 double bubble framework is a highly promising material for photocatalysis due to efficient charge separation.
- Computational modeling provides insights into designing advanced composite materials for energy applications.
- Further research into these composite systems could lead to breakthroughs in photocatalytic technology.
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