Several techniques are employed to optimize nanotechnology processes:
Computational modeling: Using simulations to predict and optimize the behavior of nanomaterials. Machine learning: Employing algorithms to analyze data and optimize processes. High-throughput screening: Rapidly testing a large number of samples to identify optimal conditions. In situ monitoring: Real-time observation and adjustment of processes during fabrication.
