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Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.
This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
A high-strength, heat-resistant Al-Ce-Ni alloy optimized for additive manufacturing in industrial applications.
The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.
The invention ensures post-validation calibrated physics system predictions remain within predetermined model validation domain boundaries.
The vast majority of energy conversion technologies and industrial processes depend on heat exchangers for transferring heat between fluids.