3D Neural Networks for Materials

Methods of materials imaging and microscopy are now capable of generating increasingly large and complex data, which far surpasses the ability for manual post-processing and analysis. We work to apply deep learning architectures to assist materials researchers with tasks that would otherwise require manual annotation.