Despite its importance, optimized biasing in nanotechnology faces several challenges:
Quantum Effects: At the nanoscale, quantum mechanical effects become significant, complicating the prediction and control of device behavior. Thermal Management: Nanoscale devices can generate significant heat, which must be managed to prevent performance degradation. Material Variability: Variations in nanomaterials properties can lead to inconsistencies in device performance, making uniform biasing difficult. Integration: Integrating nanoscale devices with traditional microelectronics requires careful consideration of biasing to ensure compatibility and performance.
