In this project, we are using machine learning for inverse design in photonics. Data sets for different types of devices have been obtained or are in the process of being constructed. This compute project is then use to train neural network with data from full-wave simulations to predict the optical properties of new nanophotonic devices and also to perform free-form inverse design (topology optimization), i.e., obtain a design for an nanophotonic device with a desired optical response.