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.


The NSF Computational Mechanics Vision Workshop

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Over October 31 and November 1, 2019 MICDE hosted the 2019 Computational Mechanics Vision workshop that aimed to gather and synthesize future directions for computational mechanics research in the United…

46 Peta-FLOPS computation of defects in solid crystals is a finalist in the highest prize for scientific computing

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From left: Sambit Das, Phani Motamarri and Vikram Gavini A team led by Prof. Vikram Gavini (Professor of Mechanical Engineering and MICDE affiliate) and including Dr. Sambit Das (MICDE Fellow)…

Research Highlight: Improving aircraft aeropropulsive performance with multidisciplinary design optimization

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Anil Yildirim, Ph.D. Candidate, Aerospace Engineering MICDE fellow Anil Yildirim, a Ph.D. candidate in the department of Aerospace Engineering, is working towards improving the overall efficiency of commercial tube-and-wing aircraft.…

Research Opportunity, Mechanical Engineering, TREE Lab – Summer 2019

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Dr. Bala Chandran’s Research Group, Mechanical Engineering, TREE Lab Dr. Bala Chandran is seeking a highly motivated graduate (doctoral or masters) student interested in doing research in the broad area…