Lab2Mod: From Lab Bench Data to Reduced Models of Transition Dynamics in Turbulence by Reinforcement Learning

  • UT Austin PI: Fabrizio Bisetti
  • Collaborating Institutions: Harvard University, Johns Hopkins University, University of Michigan Ann Arbor
  • Funding Source: DARPA
  • Award: $2M
  • Award Date: 7/25/2004 - 7/25/2006

With new funding from the Defense Advanced Research Projects Agency (DARPA), Fabrizio Bisetti is leading a research team that aims to greatly improve turbulent flow modeling using advanced machine learning techniques. Learn more.