Category: Research
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Streamlining AI development for transparent nuclear engineering models
A new tool simplifies machine learning development for nuclear engineers while incorporating model explainability features to help improve transparency.
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Real-time modeling of 3D temperature distributions within nuclear microreactors to improve safety systems
Finding the best digital twin to model reactor temperatures can improve online monitoring, essential for use of these compact, portable reactors in remote areas.
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Oskar Searfus pioneers neutron signatures to safeguard thorium reactors
The NERS PhD student’s research was published in Physical Review Applied.
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Hidden variables and neural networks for complex plasma physics
Research by Archis Joglekar and Alexander Thomas published in Machine Learning: Science and Technology.
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PhD student Peter Hotvedt co-authored paper published in Frontiers in Physiology
The paper examines the intricacies of asthma and its impact on lung ventilation.
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Major research initiatives fuel national discussions
Three major initiatives led by NERS faculty are shaping the future of nuclear energy, including safety, security and treaty verification.
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NERS faculty receive NEUP funding awards
U-M NERS faculty are well represented as the U.S. Department of Energy Nuclear Energy University Program releases its FY 2018 Research and Development Awards.