DOE Genesis Mission funding to advance AI breakthroughs
Projects will accelerate innovation in critical scientific and engineering challenges
MINNEAPOLIS / ST. PAUL (08/05/2026) - Researchers at the University of Minnesota have had three projects selected for the U.S. Department of Energy’s inaugural Genesis Mission program, underscoring the University’s leadership in applying AI and advanced computing to address critical scientific and engineering challenges in energy, technology and national security.
The University of Minnesota College of Science and Engineering secured the three Genesis Mission Phase I awards. A highly competitive initiative that drew the largest response to a funding opportunity in the Department of Energy’s history, the program awarded 278 grants to researchers at 168 universities, 87 national laboratories, 19 companies and four nonprofit organizations. Phase I funding supports researchers as they develop and test research workflows that integrate AI with scientific discovery.
“The Genesis Mission brings together the scientific expertise, engineering capability and advanced computing needed to accelerate discovery,” said Andrew Alleyne, dean of the University of Minnesota College of Science and Engineering. “University of Minnesota researchers are well positioned to contribute to this work. Integrating AI throughout the research process can help our teams evaluate ideas faster and move promising solutions forward in areas including energy systems, advanced materials and intelligent technologies.”
Using AI to unlock next-generation semiconductor devices
Uwe Kortshagen, a Distinguished McKnight University Professor in the Department of Mechanical Engineering, is leading a project aimed at transforming semiconductor manufacturing. Today’s chip fabrication processes require extreme precision but remain difficult to adapt to new materials. Kortshagen’s team will develop an AI-driven discovery engine to rapidly evaluate manufacturing approaches, identify sources of error and accelerate the development of next-generation semiconductor materials.
A new frontier for “digital twins”
Qizhi He, assistant professor in the Department of Civil, Environmental and Geo-Engineering, will lead a project aimed at transforming geothermal energy extraction. Using generative AI, the research team will develop a real-time “digital twin” of underground environments that can rapidly process sensor data and provide more accurate insights than current models. The technology will help energy operators make faster, better-informed decisions, improving efficiency while reducing costs.
Optimizing critical mineral extraction
Peter Kang, assistant professor in the Department of Earth and Environmental Sciences, is developing new approaches to recover critical minerals more efficiently and sustainably. His research focuses on “in situ” recovery, a process that extracts minerals by circulating fluids underground rather than through traditional mining. By combining lab experiments with next-generation AI, Kang and his team will better predict how fluids move through fractured rock and dissolve minerals, helping optimize recovery and improve extraction efficiency.
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