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Research

A simulation of magnetic reconnection in relativistic plasma that may occur in astrophysical environments.

Courtesy of Qian Qian

An Auger-Meitner recombination, which is a non-radiative recombination process important in semiconductors.

Using first-principles calculations, you can see the distribution of participating quasiparticles (electrons, holes, phonons) in the system.

These images are cross sections from calculations in silicon and reveal the electronic and vibrational structure of the Auger-Meitner recombination process.

Courtesy of Kyle Bushick

Machine learning-informed phase field computation of ordered domains in a lithium cobalt oxide battery.

Courtesy of Krishna Garikipati

MICDE Catalyst Program

Research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure.

MICDE Catalyst Grants are awarded to tenure track or research track faculty at the University of Michigan-Ann Arbor for innovative research projects in computational science.
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Focus Areas

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 AREAS

Computational Physics

Optimization

Applied Mathematics

Data-driven, Machine Learning, and AI

Health and Medicine

Highlights

NSF Graduate Research Fellowship Program (GRFP)

Summary of Program Requirements General Information Program Title: NSF Graduate Research Fellowship Program (GRFP) Synopsis of Program: The purpose of the U.S. National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) is to help ensure the quality,...

Machine Learning Systems Engineer

Mission Summary: We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost,...

ML Systems Engineer, ML Acceleration

Mission Summary: We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost,...

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Centers

Center for Scientific Software Infrastructure

Center for Data-Driven Computational Physics