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Deep learning model overcomes the challenge of real-world measurements of isotope production target cooling systems - EurekAlert
Isotope production facilities depend on cooling for proper function of target systems during irradiation. Examining these systems is challenging due to high radiation levels during target irradiation that make real-world measurements impossible. Researchers turned instead to a mock apparatus to collect temperatures and high-speed video of cooling water boiling, then used deep-learning tools to validate a model that predicts boiling in cooling systems.
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