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Computational Comparative Analysis of Small Atomically Precise Copper Clusters
Adebola Adeagbo1, Tao Wei2, Andre Z Clayborne1
1Department of Chemistry, Howard University, Washington, District of Columbia 20059, United States.
The Journal of Physical Chemistry. A
|July 22, 2020
Summary
Atomically precise copper clusters (APCs) show promise in various applications. Ligand changes had minimal impact, but altering the anchor atom significantly affected electronic and optical properties, aiding nanocluster identification.
Area of Science:
- Materials Science
- Nanotechnology
- Computational Chemistry
Background:
- Atomically precise copper clusters (APCs) are vital for sensing, water remediation, and electrochemical applications.
- Understanding the properties of smaller APCs and their size/composition dependence is crucial but limited.
- Existing research lacks detailed insights into structure-property relationships for small APCs.
Purpose of the Study:
- To investigate the electronic structure, geometry, and optical properties of small atomically precise copper clusters.
- To analyze how ligand modifications and anchor atom changes influence APC characteristics.
- To explore the effect of increasing copper core size on cluster properties.
Main Methods:
- Density Functional Theory (DFT) calculations.
- Time-dependent DFT (TD-DFT) for optical properties.
- Comparative analysis of computational and experimental data.
Main Results:
- Experimentally observed Cu4 clusters exhibit a closed-shell superatom electronic structure (1S21P2).
- Ligand variations on Cu4 clusters showed minimal impact on core geometry, electronic structure, or optical spectra.
- Anchor atom modification increased the electronic gap and caused a hypsochromic shift; increasing core size led to smaller electronic gaps and bathochromic shifts.
Conclusions:
- Computational studies provide valuable physical insights into APC behavior.
- Changes in anchor atoms and core size are key factors tuning APC electronic and optical properties.
- This work aids in identifying small atomically precise nanocluster compositions from experimental data.

