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
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.
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.
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.
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…
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.
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…
