How does Machine Learning Enhance Material Discovery?
In the realm of material science, ML algorithms can predict the properties of new nanomaterials even before they are synthesized. By analyzing vast amounts of existing data, ML models can identify relationships between the structure and properties of materials. This accelerates the discovery process and reduces the need for extensive experimental trials. For example, [deep learning]() techniques can be employed to predict the electronic properties of [2D materials]() and [nanocomposites]().
