MICDE’s depth and breadth of innovation in computational science is reflected in our affiliated faculty’s discoveries, groundbreaking ideas and achievements. Our research centers highlight new tools and methodologies being develop at U-M to accelerate and expand scientific discovery.

Research Centers

Climate visualization

Center for Data-Driven Computational Physics

Modeling of Multi-scale Physical Systems

The mission of the Center for Data-Driven Computational Physics is to usher in the future of large-scale, data-driven modeling of multi-scale physical systems. We focus on data-driven solutions to these problems using high performance computing clusters. However, the interaction of high performance computing for physics with large-scale data is itself a challenging problem, meriting new hardware configurations, software, and computational methods. The Center will respond to this challenge via the ConFlux facility, conceived by MICDE faculty and hosted by ARC-TS.

Network wires and backend

Center for Network and Storage-Enabled Collaborative Computational Science

Improving collaboration on large datasets

The  Center for Network and Storage-Enabled Collaborative Computational Science seeks to address the challenges of extracting scientific results collaboratively from large, distributed or diverse data. Included in the Center is the NSF-funded OSiRIS project, a collaborative, multi-university venture led by MICDE faculty, and hosted by ARC-TS.

Highlights

Research highlights: A new era in disaster research

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By Bob Brustman, U-M Civil and Environmental Engineering Department University of Michigan researchers have received a $2.5 million NSF grant to develop a computational model that is hoped to significantly…

Research highlights: Running climate models in the cloud

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Can cloud computing systems help make climate models easier to run? Assistant research scientist Xiuhong Chen and MICDE affiliated faculty Xianglei Huang, from Climate and Space Sciences and Engineering (CLASP),…

2015-2016 MICDE Research Snapshot

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The Center for Data-Driven Computational Physics was established as a place to concentrate data-driven modeling research across campus. Its activities are focused on ConFlux, a $3.5M groundbreaking cluster funded by…

NSF EAGER award to study new information and communication technologies in shared connected vehicles

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MICDE associate director Siqian Shen (PI) will collaborate with Co-PIs Tawanna Dillahunt and Tanya Rosenblat from U-M School of Information to conduct interdisciplinary research for a newly announced NSF EArly-concept Grant for…