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.

WHAT’S NEW

Gilbert, Rudelson, Wu named Simons Foundation Fellows in Mathematics

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Three University of Michigan professors have been named Simons Fellows in Mathematics by the Simons Foundation: Anna Gilbert, the Herman H. Goldstine Collegiate Professor of Mathematics, core faculty member at the Michigan Institute…

Workshop co-chaired by MIDAS co-director Prof. Hero releases proceedings on inference in big data

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The National Academies Committee on Applied and Theoretical Statistics has released proceedings from its June 2016 workshop titled “Refining the Concept of Scientific Inference When Working with Big Data,” co-chaired…

Combining simulation and experimentation yields complex crystal nanoparticle

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The most complex crystal designed and built from nanoparticles has been reported by researchers at Northwestern University and the University of Michigan. The work demonstrates that some of nature’s most…

SC2 presents the 2017 NVIDIA Visualization Challenge

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The Scientific Computing Student Club (SC2) and NVIDIA are presenting a Visualization Challenge, with prizes including two NVIDIA and sponsorship to enter present your results at the Scientific Visualization Showcase at Supercomputing…

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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.

Monica Valluri wins U-M Research Faculty Achievement Award

Monica Valluri, a Research Associate Professor in the Department of Astronomy, has been honored with the U-M Research Faculty Achievement Award for her outstanding research and teaching career in theoretical galaxy dynamics. She uses numerical calculations and simulations to probe galactic phenomena, including supermassive black holes and dark matter halos,two types of invisible matter whose presence is inferred primarily from their gravitational effects on stars and other visible matter. Read more…

Paul Zimmerman, Michael Cafarella and Honglak Lee named 2016 Sloan Fellows

MICDE faculty members Paul Zimmerman (Chemistry) and Michael Cafarella (Computer Science), and MIDAS faculty member Honglak Lee (Computer Science) have been awarded 2016 Sloan Research Fellowships, which seeks to stimulate fundamental research by early-career scientists and scholars of outstanding promise.

Prof. Zimmerman’s research group develops and employs a broad spectrum of computational techniques to chemical problems.

Prof. Cafarella is a co-creator of Hadoop, the data processing system behind Yahoo, Twitter, and Facebook.

Prof. Lee’s research lies in machine learning and its applications to artificial intelligence.

For more information about the award see the press release.

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.

Featured Faculty Member


hbmayes Heather Mayes
Assistant Professor

Heather Mayes is an Assistant Professor in the Department of Chemical Engineering. Her research group uses multi-scale modeling to discover protein-sugar interactions and to harness them for renewable energy and…