"Unraveling Extreme Events: Deep Learning Sheds Light on the Unexplained"
Researchers from Florida Atlantic University's College of Engineering and Computer Science have used deep learning techniques to analyze extreme events in turbulent flows. By adapting a computer-vision deep learning technique, they were able to identify and regulate organized structures within wall-bounded turbulent flows, which have applications in various fields such as wind and hydrokinetic energy. The study demonstrates that the technique can accurately identify the sources of extreme events in a data-driven manner, providing valuable insights into the physics of fluids and potentially extending to other scientific domains.
