2.699 / 2.862 Cd6Se6 3.14 (3.14) (2.670 / 2.864) 2.710 / 2.801 3.06 (2.99) Cd13Se13 (2.704 / 2.785) Figure .3: Absorption Peak of Cys-capped Cd33Se33. Left: Experimental result ; Right: Simulation Estimation. Simulation Results Bare Quantum Dots In this section, we carry out a comparison between and ‘magic’ size quantum dots. In doing so, we explore the disadvantages of the size dots. The geometrically optimized coordinates of the bare CdnSen QDs (‘n’ = 6, 12, 13, and 33) have been calculated. The visualization of the cluster is provided in Table 4.1. The geometry optimization leads to a surface reconstruction of the large bare quantum dots, while the core würtzite structure is maintained. As compared with the values for the other three sizes of QDs,
Cd6Se6 2.699 / 2.862 (2.670 / 2.864) 3.14 (3.14) Cd13Se13 2.710 / 2.801 (2.704 / 2.785) 3.06 (2.99) Figure .3: Absorption Peak of Cys-capped Cd33Se33. Left: Experimental result ; Right: Simulation Estimation. Simulation Results Bare Quantum Dots In this section, we carry out a comparison between ‘magic’ and size quantum dots. In doing so, we explore the disadvantages of the size dots. The geometrically optimized coordinates of the bare CdnSen QDs (‘n’ = 6, 12, 13, and 33) have been calculated. The visualization of the cluster is provided in Table 4.1. The geometry optimization leads to a surface reconstruction of the large bare quantum dots, while the core würtzite structure is maintained. As compared with the values for the other three sizes of QDs,
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