Deep Learning for Science and Engineering

NVIDIA co-developed this course with Professor George Karniadakis and his team at Brown University. This course enables the next generation of engineers and scientists to leverage AI for innovation in a wide array of multidisciplinary fields of study. The course leverages the open-source NVIDIA Modulus framework with hands-on tutorials for project-based learning. There are dedicated modules for physics-ML due to its potential to transform HPC simulation workflows across disciplines, including computational fluid dynamics, biomedicine, structural mechanics, geophysics, materials science and computational chemistry.