Real-time control in nanotechnology is achieved through a combination of technologies and methodologies:
Sensors: These are used to detect and measure nanoscale phenomena. Advanced nanosensors can provide real-time data on temperature, pressure, chemical composition, and other critical parameters. Actuators: These devices can make precise adjustments at the nanoscale. Piezoelectric actuators, for example, can make minute movements with high accuracy. Computational Systems: Powerful computers and algorithms process the data from sensors and determine the necessary actions. Machine learning and artificial intelligence are increasingly used to improve the accuracy and efficiency of these systems. Feedback Loops: Real-time control systems often use feedback loops, where the output of a process is fed back into the system to make continuous adjustments.
