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Published on: July 5, 2016
Complex Low Energy Tetrahedral Polymorphs of Group IV Elements from First Principles
Chaoyu He1,2, Xizhi Shi1,2, S J Clark3
1Hunan Key Laboratory for Micro-Nano Energy Materials and Devices, Xiangtan University, Hunan 411105, People's Republic of China.
Researchers discovered new, stable carbon structures with potential for superhard materials and semiconductor applications. These novel polymorphs offer wider band gaps and mechanical stability, expanding the known carbon allotrope family.
Area of Science:
- Materials Science
- Computational Chemistry
- Condensed Matter Physics
Background:
- The carbon energy landscape is complex, featuring numerous metastable phases like diamond, fullerenes, nanotubes, and graphene.
- Discovering new carbon structures, especially those with large unit cells, presents significant computational challenges.
Purpose of the Study:
- To explore the complex energy landscape of carbon and identify novel, low-energy metastable structures.
- To investigate the stability and properties of newly predicted carbon allotropes and their analogues.
Main Methods:
- Employed a combined stochastic search strategy using ab initio random structure search and a random sampling strategy with graph theory and space group constraints.
- Applied connectivity constraints to unit cells containing up to 100 carbon atoms.
- Performed calculations for energetic, dynamical, mechanical, and electronic properties.
Main Results:
- Identified three new low-energy carbon polymorphs (Pbam-32, P6/mmm, I4[over ¯]3d) with unique topologies and 32, 36, and 94 atoms per primitive cell.
- These allotropes exhibit energies suggesting metastability relative to diamond (96, 131, 112 meV/atom) and possess mechanical and dynamical stability.
- The I4[over ¯]3d structure shows a direct band gap of 7.25 eV, the widest among carbon allotropes. Analogues in silicon, germanium, and tin also demonstrated stability.
Conclusions:
- The discovered carbon polymorphs are insulating, superhard materials with potential for advanced applications.
- Their electronic properties suggest suitability for semiconductor and photovoltaic devices.
- The study demonstrates the efficacy of the employed computational strategy for discovering novel materials.
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