Biasing is optimized through a combination of theoretical modeling, simulation, and experimental calibration. Advanced simulation tools can predict how a device will respond to different biasing conditions, allowing researchers to tailor the biasing parameters for optimal performance. Experimental techniques, such as scanning probe microscopy and electron microscopy, can provide detailed insights into how biasing affects the nanoscale structures.
