Gradient-Based Multidisciplinary Design Optimization for Propeller Design | Validation of a multivariate non-Gaussian, non-stationary wind pressure simulation model for performance-based wind engineering
The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from […]
The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from […]
Active Learning for Physics Informed Data Sampling and Construction of Free Energy Representations
