What are the Common Machine Learning Algorithms Used?
Several ML algorithms are commonly employed in nanotechnology research:
1. [Neural Networks](): These are used for pattern recognition and property prediction in nanoscale materials. 2. [Support Vector Machines (SVM)](): Effective in classifying nanoparticle properties and behaviors. 3. [Random Forests](): Useful for feature selection and predicting material properties. 4. [k-Nearest Neighbors (k-NN)](): Applied in clustering similar nanomaterials. 5. [Principal Component Analysis (PCA)](): Helps in reducing the dimensionality of complex nanomaterials data.
