The discovery of new nanomaterials often involves complex simulations and extensive laboratory experiments. ML algorithms can analyze existing datasets to identify patterns and relationships that may not be apparent to human researchers. By using techniques such as neural networks and support vector machines, ML can predict the properties of new materials, suggest potential applications, and even guide the synthesis process.
