How is Machine Learning Impacting Computational Nanotechnology?
Machine Learning (ML) is increasingly being integrated into computational nanotechnology. ML algorithms can analyze large datasets generated from simulations, identify patterns, and make predictions about material properties. This integration helps in accelerating the discovery and optimization of novel nanomaterials and improving the accuracy of computational models.
