Automation plays a pivotal role in enhancing process control by reducing human error and increasing consistency. Automated systems can continuously monitor parameters and make real-time adjustments. This is particularly beneficial in high-throughput manufacturing of nanomaterials, where precision and speed are paramount. Machine learning and artificial intelligence are increasingly being integrated into automated systems to predict and optimize process outcomes.
