The Michigan Institute for Computational Discovery and Engineering (MICDE) is the focal point for the wide spectrum of research and education in computational methods and AI for science and engineering at the University of Michigan.
This includes the development and deployment of sophisticated models from nearly every aspect of science and engineering on high performance computers (HPC) to support basic research, product development, and forecasting. Computational Discovery and Engineering (CDE) is an enabling discipline with computation widely accepted as the third mode of scientific discovery on par with theory and physical experimentation.
Our mission is to advance new paradigms and applications of computational science and AI to enable scientific discoveries and engineering innovations.
We seek to define a future in which computations are a generator of knowledge and provide direct solutions to the most pressing questions of the time.
Research in CDE at U-M is taking place in diverse fields, including cosmology, environmental and climate modeling, population and community ecology, defense and homeland security, nuclear and high-energy device development, materials and nanoscience, biophysics, electrical and electronic design, transportation, geophysical modeling, structural engineering, healthcare engineering, modeling of large-scale engineering systems, information technology, data mining, social network analysis and visualization, and computational linguistics. At MICDE, researchers also define fundamentally new paradigms to blend computer science, future hardware and big data with computational science. Affiliated faculty come from many departments within the College of Engineering, the College of Literature, Science and the Arts and beyond. (For more on CDE, see our What Is CDE? page).
MICDE, established in 2013, is an initiative of the University of Michigan College of Engineering, College of Literature, Science and the Arts, and the Office of Research.
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MICDE offers many academic programs, events, and services, including:
- Ph.D. in Scientific Computing, a joint degree with other existing Ph.D. programs at U-M
- Graduate Certificate in Computational Discovery and Engineering, open to currently enrolled U-M masters and Ph.D. students in any field of study
- Graduate Certificate in Computational Neuroscience, open to currently enrolled U-M masters and Ph.D. students interested in interdisciplinary neuroscience training
- MICDE Seminar Series, bringing internationally known speakers to campus
- An Annual Symposium
- Faculty workshops that seed novel ideas to chart new directions in CDE
- The Scientific Computing Student Club, a forum for CDE students to learn best practices in HPC, exchange ideas and socialize
- Grant-writing support for center-level funding, aimed at bringing together interdisciplinary teams of researchers