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Updated: Jan 9, 2026

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积极学习增强的神经进化潜力用于UO2热物理性质的预测建模.

Junying Zhong1,2,3, Lei Zhang2,3, Tao Bo2,3

  • 1School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, China.

Physical chemistry chemical physics : PCCP
|December 8, 2025
PubMed
概括

一个新的机器学习潜力准确地模拟了二氧化的导热性,这对于核燃料性能至关重要. 这种方法克服了实验和传统模拟反应堆安全的局限性.

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