Turbulence remains one of physics’ most complex unsolved problems, with implications for flight safety, industrial processes, and energy efficiency. A University of Michigan-led study used explainable AI to identify the most influential regions in turbulent flows, revealing insights that classical methods had missed. Read more to learn how this approach could improve turbulence forecasting, reduce drag in vehicles, and optimize industrial applications.
