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Updated: Jul 1, 2025

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
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Experimental Multiscale Methodology for Predicting Material Fouling Resistance

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整合核心物理和机器学习,以改善沸水反应堆运行中的参数预测

M R Oktavian1,2, J Nistor3,4, J T Gruenwald3

  • 1Blue Wave AI Labs, 1281 Win Hentschel Blvd, West Lafayette, IN, 47906, USA. rizki@bwailabs.com.

Scientific reports
|March 9, 2024
PubMed
概括

这项研究将机器学习 (ML) 与沸水反应堆 (BWR) 模拟相结合,以纠正低保真度输出. 这种新的方法显著提高了核反应堆参数预测的准确性,以实现高效运行.

关键词:
神经网络的神经网络的神经网络中子扩散是中子扩散的过程.核反应堆中的核反应堆.

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