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

MICDE funds wide-ranging computational discovery in galactic formation, drug discovery, bacterial biofilm colonies and turbulence simulations

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Since 2017 the Michigan Institute for Computational Discovery & Engineering (MICDE) Catalyst Grants program has funded a wide spectrum of cutting-edge research that combines science, engineering, mathematics and computer science.…

Microsoft AI for Health Program to support an AI-facilitated Optimization Framework for Improving COVID-19 Testing

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With the recent resurgence of COVID-19 infections, testing has become central to an integrated, global response to the pandemic. Accurate, effective, and efficient testing can lead to early detection and…

What is the right model? Different MRIO models yield very different carbon footprints estimates in China

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Appropriate accounting of greenhouse gas emissions is the first step to assign mitigation responsibilities and develop effective mitigation strategies. Consistent methods are required to fairly assess a region’s impact on…

Modeling the transmission of infectious aerosols

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Inhalation of micron-sized droplets represents the dominant transmission mechanism for influenza and rhinovirus, and recent research shows that it is likely also the case for the novel coronavirus.  Increasing evidence…