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A novel approach is presented herein to improve time to onset of natural convection stemming from fuel element porosity during a failure mode of a nuclear reactor.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.