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First-Principles Studies on the Structural and Electronic Properties of As Clusters
Jialin Yan1,2,3, Jingjing Xia4, Qinfang Zhang5
1School of Materials Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China. yanjl@ycit.edu.cn.
Materials (Basel, Switzerland)
|September 5, 2018
Summary
Researchers explored arsenic clusters using genetic algorithms and density functional theory. They identified dominant supercluster structures and predicted geometric arrangements for larger arsenic clusters.
Area of Science:
- Computational Chemistry
- Materials Science
- Condensed Matter Physics
Background:
- Understanding the properties of atomic clusters is crucial for developing new materials.
- Arsenic clusters exhibit unique structural and electronic behaviors that are not fully understood.
Purpose of the Study:
- To investigate the structural and electronic properties of neutral and charged arsenic clusters (Asn, n = 2-24).
- To identify dominant structural motifs and predict geometric configurations for larger arsenic clusters.
Main Methods:
- Utilized a genetic algorithm (GA) integrated with density functional theory (DFT) calculations.
- Analyzed size-dependent physical properties including binding energy, HOMO-LUMO gap, and energy differences.
Main Results:
- Identified supercluster structures based on As₈ units and As₂ bridges as dominant for larger clusters (n ≥ 8).
- Predicted possible geometric structures for specific larger arsenic clusters (As₂₈, As₃₈, As₁₈₀) based on observed growth patterns.
Conclusions:
- The study provides insights into the fundamental properties of arsenic clusters.
- The findings contribute to the understanding of cluster growth and stability, aiding in potential applications.
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