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.

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WHAT’S NEW

University of Michigan researcher contributes to NASA findings on carbon in the atmosphere showcased in the journal Science

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  High-resolution satellite data from NASA’s Orbiting Carbon Observatory-2 are revealing the subtle ways that carbon links everything on Earth – the ocean, land, atmosphere, terrestrial ecosystems and human activities….

The University of Michigan is live on IBM.com

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IBM is showcasing the current research developed with ConFlux, our ground-breaking cluster that uses IBM’s HPC and storage technology to enable scientists to draw on huge volumes of bid data and use machine learning…

NVIDIA Grad Fellowship applications are open for the 2018-2019 academic year

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NVIDIA just launched their 17th Annual Graduate Fellowship Program for the 2018-2019 academic year, which advances the frontiers of science by awarding grants and providing technical support to graduate students…

Faculty search in Computational Science at U-M

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MICDE is pleased to bring to your attention a faculty search in Computational Science at University of Michigan. This position will be filled within the Mechanical Engineering Department, but the…

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MICDE Highlights

Data visualization

ConFlux

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.

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…

2017 MICDE Symposium poster winners announced

 

Victor Wu, Ph.D candidate in Industrial and Operations Engineering, Sambit Das, Ph.D candidate in Mechanical Engineering, and Joseph Cicchese, Ph.D candidate in Chemical Engineering were the lead authors for posters that won the 2017 MICDE poster competition, held at the institute’s annual symposium in April.

The event featured nearly 60 posters.
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


Silas Alben
Associate Professor

Silas Alben is an Associate Professor in the Department of Mathematics, and the Director of the Applied & Interdisciplinary Mathematics program. He uses theoretical analysis, and develops numerical methods and…