The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering.

Upcoming Events


New course for fall 2018: On-Ramp to Data Science for Chemical Engineers

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Description: Engineers are encountering and generating a ever-growing body of data and recognizing the utility of applying data science (DataSci) approaches to extract knowledge from that data. A common barrier to…

University of Michigan awarded Women in High Performance Computing chapter

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The University of Michigan has been recognized as one of the first Chapters in the new Women in High Performance Computing (WHPC) Pilot Program. “The WHPC Chapter Pilot will enable…

MICDE awards seven Catalyst Grants

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The Michigan Institute for Computational Discovery and Engineering has awarded its second round of Catalyst Grants, providing between $80,000 and $90,000 each to seven innovative projects in computational science. The…

CASC image competition open for submissions

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The image competition for the Coalition for Academic Scientific Computation (CASC) 2019 annual brochure is now open. Winning images will be featured in the brochure, which is distributed to industry,…
  • For: Faculty

    NSF Computational and Data-Enabled Science and Engineering (CDS&E) – Engineering’s Division of Civil, Mechanical and Manufacturing Innovation

    Full Proposal deadline 9/15/18 Learn more
  • For: Faculty

    NSF Computational and Data-Enabled Science and Engineering (CDS&E) – Engineering’s Division of Chemical, Bioengineering, Environmental,

    Full Proposal deadline 9/15/18 Learn more
  • For: Faculty

    NSF Computational and Data-Enabled Science and Engineering (CDS&E) – Chemistry – Chemical Theory, Models and Computational Methods

    Full Proposal deadline 10/2/18 Learn more
  • For: Post Doc

    NSF Astronomy and Astrophysics Postdoctoral Fellowship

    Full Proposal deadline 10/10/18 Learn more

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MICDE Highlights

Data visualization


Combining Big Data and HPC

A new way of computing could lead to immediate advances in aerodynamics, climate science, cosmology, materials science and cardiovascular research.

The National Science Foundation will provide $2.42 million to develop a unique facility for refining complex, physics-based computer models with big data techniques at the University of Michigan. The university will provide an additional $1.04 million.

See the grant description and press release for more information.

Animation of reducing the bottleneck effect

$5 million to widen ‘bottleneck to discovery’

An NSF grant will create a software-defined network between three Michigan universities

Buried in troves of data that scientists have gathered, but not yet analyzed, could be key insights to improving cancer treatment, understanding Alzheimer’s, predicting climate change effects and developing cheaper, clean energy technologies.

Those are just a few of the countless examples of fields where our capacity to gather scientific data now far exceeds our capacity to crunch it—especially when collaborations span the globe. Some research projects are producing the equivalent of 1,000 consumer hard drives a month, for example. Read more.

2018 MICDE Symposium poster winners announced

The event featured approximately 50 posters

Yanming Wang, Chemistry; Sabrina Lynch, Biomedical Engineering; and Gregory Shallcross, Sarah Beetham, and Yuan Yao Mechanical Engineering, were the lead authors for posters that won the 2018 MICDE poster competition, held at the institute’s annual symposium in March.

Read more…

2017-18 Fellowships Awarded

Twenty graduate students were awarded MICDE Fellowships for the 2017-18 school year. The fellowships carry a $4,000 stipend. Another 10 students were given honorable mentions. Read more…

U-M joins NSF-funded SLATE project to simplify scientific collaboration on a massive scale

SLATE will enable creation of new platforms for collaborative science

Services Layer At The Edge (SLATE) is a $4 million project funded by the National Science Foundation, including University of Michigan in a team led by the Enrico Fermi and Computation Institutes at University of Chicago. SLATE will provide technology that simplifies connecting university and laboratory data center capabilities to the national cyberinfrastructure ecosystem. The University of Utah is also participating. Once installed, SLATE connects local research groups with their far-flung collaborators, allowing central research teams to automate the exchange of data, software and computing tasks among institutions without burdening local system administrators with installation and operation of highly customized scientific computing services.. Read more.

Featured Faculty Member

C. Alberto Figueroa
Associate Professor

Alberto Figueroa is an Associate Professor with a joint appointment in Biomedical Engineering and Surgery. He works on computational methods for patient-specific cardiovascular simulation. Modeling the function of the cardiovascular…