How are Machine Learning Models Applied in Nanotechnology?
Machine learning models are particularly useful in predicting the properties of nanomaterials, optimizing synthesis processes, and designing new materials with desired characteristics. These models can analyze complex datasets derived from experiments and simulations, providing insights that might be challenging to obtain through traditional methods.
