Gaussian processes are a collection of random variables, any finite number of which have a joint Gaussian distribution. In nanotechnology, Gaussian processes are used in machine learning models to predict and optimize the properties of nanoscale materials and systems. These processes provide a flexible and powerful framework for modeling complex, non-linear relationships in data.
