Catalyst Grants

Research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure. MICDE Catalyst Grants are awarded to tenure track or research track faculty at the University of Michigan for innovative research projects  in computational science.


Every year, the Michigan Institute for Computational Discovery & Engineering (MICDE) Catalyst Grants fund innovative research projects in computational science that combine elements of mathematics, computer science, and cyber infrastructure.

Catalyst Grant topics of interest include, but are not limited to:

  • Computational science approaches, algorithms, frameworks, etc.
  • Emerging paradigms in computing (exascale computing, quantum computing, FPGA computing, etc.)
  • Applications in emerging areas (neuroscience, ecology, evolutionary biology, human-made complex systems, mobility etc.)
  • Extensions of traditional computational sciences to complex decision making (reinforcement learning, transfer learning, neuromorphic computing, etc.)
  • Artificial Intelligence informing and informed by science

Generic big data problems that do not fundamentally advance computational science algorithms are not suitable for MICDE Catalyst Grants. Priority will be given to high-impact projects with potential to eventually attract external funding. MICDE expects to fund 3-4 one-year projects per year at up to $100,000 each.

Funded projects are listed below. Calls for proposals will be listed on this page when they are opened.

2022 Catalyst Grants



Four projects lead by outstanding junior faculty have been awarded the 2022 MICDE Catalyst Grant funding. “Ranging from computer vision-enabled insights to animal behavior, through fundamental mathematical frameworks to advance quantum physics and materials discovery, to probability-based computational modeling of material behavior, the 2022-23 cohort of catalyst grant awardees will continue MICDE’s tradition of uncovering new frontiers of computational science”, said MICDE Director Krishna Garikipati, Professor of Mechanical Engineering, College of Engineering, and Professor of Mathematics, LSA.