Computational Science and Engineering

Michigan Engineering is advancing discovery at the forefront of computational research—leveraging high-performance computers (HPC), advanced models, and digital twin technologies to drive innovation across disciplines. These efforts are propelled by several large-scale, federally supported research centers and interdisciplinary initiatives that address both foundational science and real-world applications.

The Automotive Research Center—a U.S. Army Center of Excellence and one of only two university-led Army centers nationwide—leads transformative research in off-road autonomy and digital engineering. The ARC develops hybrid virtual-physical environments for modeling, simulation, and testing to support future mobility systems in defense, disaster response, and human-autonomy teaming. The Center for Complex Particle Systems, funded by National Science Foundation, applies multi-scale, data-driven computational modeling to enable next-generation design and assembly of functional nanomaterials. The Space Weather Modeling Framework, a long-standing NASA-funded effort, delivers state-of-the-art predictive models to help safeguard satellites, astronauts and terrestrial infrastructure from space weather events. 

These centers are strategically supported by the Michigan Institute for Computational Discovery and Engineering, which serves as a catalyst for collaboration—connecting researchers, providing pilot funding, and fostering a robust computational science community at U-M. Together, these programs exemplify Michigan Engineering’s leadership in computational discovery and its commitment to addressing complex challenges through HPC, advanced models, and digital twin innovations.

In addition to recruiting and retaining researchers with foundational expertise, U-M provides in-house Advanced Research Computing infrastructure, enabling teams to answer questions without waiting for time on external supercomputers. For more extensive simulations, these resources enable robust preliminary results to support proposals for projects that run on some of the most powerful computers in the world, or if specialized computing infrastructure is needed for specific projects, U-M provides space and maintenance services. Computing resources are slated for a dramatic expansion with a new $1.25 billion collaboration with Los Alamos National Laboratory focusing on developing and harnessing AI.

A man stands in front of a wraparound screen displaying a virtual rocky landscape with trees. Part of the roll cage from the physical MRZR is also visible behind him.

Going beyond driving or tele-operating single vehicles, an up-to-date digital environment is needed to help humans operate fleets of autonomous vehicles.

An abstract digital circuit board with vibrant neon colors, featuring a complex grid and interconnected shapes.
Five engineers in hard hats look out at the Nicholson Dock from the bow of a large, commercial ship, with a nearby American flag waving in the breeze overhead. The stern of another commercial ship, labeled the Herbert C. Jackson, is visible ahead of the engineers.

The center will connect faculty, students, postdocs and US Navy engineers, building a community to find cutting-edge solutions to naval and marine engineering issues.

Engineers at U-M have been running computer simulations since they were analog. They also used digital mainframes from the 1950s, brought “minicomputers” into their offices in the 1960s and 1970s, and in the 1980s, began to organize through the Computer Aided Engineering Network (CAEN). 

Into the 1990s, many faculty members were still running algorithms on personal computers, some because that was enough computing power and others to prove out algorithms and win time on the supercomputers becoming available at national laboratories. To make these efforts more efficient, CAEN now runs modest supercomputers, such as the 13,000-core Great Lakes Cluster, that perform everything from lean models that capture the essential dynamics of a process to highly detailed simulations ultimately targeting exascale computing resources.

Recognizing modeling and simulation as a complement to theory and experiment and specifically training scientists and engineers in these skills, U-M launched the first PhD program in scientific computing in 1988. Alumni work across a range of sectors, in academia, industry and national laboratories.

(Dec. 2024, MICDE)

Transcript

Spherical nanoparticle visualized with purple and teal spheres on a white background.

Michigan Institute for Computational Discovery and Engineering (MICDE)

MICDE supports and connects researchers in modeling, simulation and optimization at U-M.

:Two individuals sit in the open-framed military vehicle wearing headsets over their eyes, the virtual reality set providing total coverage while the augmented reality set resembles sunglasses hanging from a bulky visor. A large panoramic screen in front of them shows a realistic outdoor environment featuring rocky landscape with tufts of grass and conifers, creating an immersive virtual driving experience.

Automotive Research Center (ARC)

As a premier U.S. Army research center, the ARC leads cutting-edge innovation in modeling, simulation, and digital engineering—driving the future of off-road autonomy and intelligent systems.

Abstract image with colorful concentric circles and a blue grid wave pattern.

Center for Complex Particle Systems (COMPASS)

Computational engineering plays a central role in exploring the enormous design space of nanostructured materials in the Center for Complex Particle Systems.

Diagram of the Space Weather Modeling Framework (SWMF) showing the Sun, planets, and solar magnetic fields.

Space Weather Modeling Framework (SWMF)

A version of the Space Weather Modeling Framework runs at the NOAA Space Weather Prediction Center, predicting how solar storms will affect Earth.