How Does Predictive Analytics Work in Nanotechnology?
Predictive analytics in nanotechnology leverages large datasets obtained from experiments, simulations, and literature. Machine learning models and algorithms are trained on these datasets to identify patterns and relationships. These models can then predict outcomes such as material properties, stability, and performance under various conditions. For example, quantum dots are a type of nanomaterial whose electronic properties can be predicted using such analytics.
