$5.2M for digital twins of nuclear reactors could bring down nuclear energy costs

By | May 26, 2020
Machinery demonstrating the experimental flow loop.
The experimental flow loop that will be used to emulate the cooling loop in a molten salt reactor. (Xiaodong Sun, U-M High-temperature Fluoride Salt Test Facility,)

Safe and more affordable nuclear energy is the goal of a new project led by the University of Michigan, bringing together researchers who specialize in nuclear energy technology and computer science.

The study, which will develop AI-enhanced “digital twins” of nuclear reactors, is funded with a three-year, $5.2 million grant from the Advanced Research Projects Agency–Energy.

The project includes partners at Argonne National Lab, Idaho National Lab and engineering firms Kairos Power and Curtiss Wright. The team aims to improve three drawbacks of nuclear power.

This mix of physics simulation and big data modeling will leverage a relatively new computer system at U-M, called ConFlux, that is designed to marry the two approaches. ConFlux is a service offered by Advanced Research Computing – Technology Services, a division of Information and Technology Services.

Author: News Staff

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