Density Functional Approach: To Study Copper Sulfide Nanoalloy Clusters.

Area of Science:

• Materials Science
• Computational Chemistry
• Nanotechnology

Background:

• Copper sulfide (CuS) nano clusters possess significant adsorption properties and are non-toxic.
• Understanding their electronic and properties is crucial for potential applications.

Purpose of the Study:

• To theoretically analyze nanoalloy clusters of copper sulfide, (CuS)n (n=1-8).
• To explore the electronic and other properties of these clusters using Conceptual Density Functional Theory (CDFT).

Main Methods:

• Theoretical analysis using Conceptual Density Functional Theory (CDFT) based descriptors.
• Computation of global DFT based descriptors for ground state configurations and low-lying isomers of (CuS)n clusters.

Main Results:

• Computed HOMO-LUMO gaps for (CuS)n clusters range from 1.25-3.53 eV.
• Established a statistical correlation between electronic, photo-catalytic properties, and computational counterparts.
• Demonstrated close agreement between experimental and computed data.

Conclusions:

• The electronic properties of (CuS)n clusters suggest their utility in renewable energy, particularly in photocatalysis and solar cell applications.
• The analytical approach is validated by the agreement between theoretical predictions and experimental findings.