Monte Carlo methods have become a cornerstone in nuclear systems analysis, particularly for sensitivity studies, which determine how variations in nuclear data can affect key reactor parameters. These ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Chemical engineering professor Matthew Memmott and his colleagues have developed an AI algorithm that can significantly reduce time in the nuclear reactor design process. A BYU professor has figured ...
Nuclear energy holds immense potential to meet growing energy demands, and researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are working on a breakthrough technology ...
Researchers at Xi’an Jiaotong University in China have found a novel approach to synthesizing superheavy element nuclei beyond uranium using less beam energy than conventional approaches. This could ...
NEW YORK, NY, April 02, 2025 (GLOBE NEWSWIRE) -- NANO Nuclear Energy Inc. (NNE) (“NANO Nuclear” or “the Company”), a leading advanced nuclear energy and technology company focused on developing clean ...
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