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Fusion Science and Technology
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Generative model explores tungsten microstructure under fusion conditions
A comparison of real SEM tungsten microstructures (left column) with machine learning–generated synthetic microstructures (right) for different values of the model setting parameters. Adjusting the model setting controls how diverse or sharp the synthetic microstructures appear. (Image: ORNL, DOE)
Researchers have developed a model to generate images that serve as synthetic data close-ups of tungsten surfaces under fusion reactor conditions.
Tungsten is a top-choice material for plasma-facing components (PFCs) in fusion machines, so understanding tungsten’s performance is critical to the safety and longevity of component designs.
Allen L. Camp, Gary W. Cooper
Fusion Science and Technology | Volume 6 | Number 1 | July 1984 | Pages 83-92
Technical Paper | Fusion Reactor | doi.org/10.13182/FST84-A23122
Articles are hosted by Taylor and Francis Online.
The nature of time-dependent energy deposition in inertial confinement fusion-fission hybrid reactors is examined. This energy deposition is both space and time dependent. Calculations are performed for sodium-cooled, uranium-carbide-fueled blankets. Coolant temperature rises on the order of a few degrees and fuel temperature rises on the order of a few tens of degrees are predicted per 15-MJ target pulse. Significant coolant pressure waves having peak pressures on the order of a few megapascals are predicted; however, shock wave formation in the coolant from direct energy deposition is not predicted for these configurations.