Computational predictions of zinc oxide hollow structures
Abstract
Nanoporous materials are emerging as potential candidates for a wide range of technological applications in environment, electronic, and optoelectronics, to name just a few. Within this active research area, experimental works are predominant while theoretical/computational prediction and study of these materials face some intrinsic challenges, one of them is how to predict porous structures. We propose a computationally and technically feasible approach for predicting zinc oxide structures with hollows at the nano scale. The designed zinc oxide hollow structures are studied with computations using the density functional tight binding and conventional density functional theory methods, revealing a variety of promising mechanical and electronic properties, which can potentially find future realistic applications.
- Publication:
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Physica B Condensed Matter
- Pub Date:
- March 2018
- DOI:
- 10.1016/j.physb.2017.03.003
- Bibcode:
- 2018PhyB..532...15T
- Keywords:
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- ZnO porous;
- Structure prediction;
- Density functional tight-binding