Energy levels in nanomaterials are commonly analyzed using techniques such as photoluminescence spectroscopy, electrochemical measurements, and scanning tunneling microscopy (STM). These methods provide insights into the electronic structure and help in understanding how size affects the material's properties. Computational methods, including density functional theory (DFT), are also employed to predict and model the energy levels in nanomaterials.
