Automation significantly enhances the speed and accuracy of nanomaterial analysis. Automated systems can handle numerous samples simultaneously, reducing human error and increasing throughput. Machine learning algorithms are also being integrated to analyze data more efficiently, providing faster insights and improving predictive modeling in nanotechnology.
