The U.S. Department of Energy (DOE) is awarding $56 million in funding for 68 nuclear energy projects The U-M Department of Nuclear Engineering and Radiological Sciences (NERS) has received $6.5 million in funding to lead five projects to advance nuclear technology.
DOE Program: Integrated Research Project Award
PI: Prof. Gary Was
$3,000,000
This project will provide a predictive tool incorporating ion irradiation and computational materials modeling to determine the microstructure and mechanical properties of core structural materials, benchmarked against reactor data and codified in ASTM standards, to provide licensees with a justification of core material performance in their safety case for the NRC, and thus, accelerating the deployment of advanced reactor designs critical to achieving the U.S. clean energy climate change goals.
DOE Program: Research and Development Award
PI: Prof. Aditi Verma
$1,000,000
This project will engage diverse New Mexican communities to develop an equitable approach for advanced reactor siting. The findings of this project will shed light on how technology developers and the DOE can explore and potentially site advanced reactors – especially at coal plant sites — with the informed consent and engagement of host communities, regions, and states. In addition to community engagement, the research team will develop a nuclear sentiment analysis (NSA) tool that uses open-source data to generate information on sentiment towards the clean energy transition and nuclear energy across the state.
DOE Program: Research and Development Award
PI: Milos Burger
$1,000,000
This project will investigate whether a unique combination of two versatile optical techniques – laser-induced breakdown spectroscopy (LIBS) and two-photon absorption laser-induced fluorescence (TALIF) – could provide a sensitive, robust, and convenient method for in-situ, real-time detection of trace impurities
DOE Program: Research and Development Award
PI: Prof. Kevin Field
$1,000,000
This project addresses a critical need for irradiation and creep-fatigue testing by carrying out a systematic, mechanistic-driven benchmarking for irradiation creep, irradiation fatigue and creep-fatigue tests under various environments.
DOE Program: Research and Development Award
PI: Prof. Brian Kiedrowski
$500,000
This project will develop algorithms for solving the k-eigenvalue form of the neutron transport equation in a nuclear reactor physics context on a quantum computer. The asymptotic scaling of the algorithms will be analyzed. Investigation into implementation will be made by making resource estimates by synthesizing explicit circuits for the algorithms and be studied by emulation on a classical computer.