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

“Get non-Real”: Department of Energy grant funds novel research in High-Performance Algorithms at U-M

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“Preparing for the future means that we must continue to invest in the development of next-generation algorithms for scientific computing,” Barbara Helland, Associate Director for Advanced Scientific Computing Research, DOE…

MICDE catalyst grant leads to new NSF funding to study cascade “ecohydromics” in the Amazonian headwater system

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The Amazon Basin cycles more water through streamflow and evaporation than any other contiguous forest in the world, and transpiration by trees is a critical part of this cycle. Understanding…

2021-2022 Catalyst Grant awardees continue to forge new fronts in computational science

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The Michigan Institute for Computational Discovery and Engineering (MICDE) announced the awardees of the 2021-2022 round of Catalyst Grants. Since 2017 MICDE Catalyst Grants program has funded a wide spectrum…

The crucial role of massively parallel simulations in future space exploration missions

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The NASA Mars 2020 Mission was launched with the goal of seeking signs of ancient life and collecting samples of rock and regolith (broken rock and soil) for possible return…