The FAST framework: developing a data-efficient machine learning potential to decode superionic transition-induced thermophysical and kinetic anomalies in UO<sub>2</sub> under extreme conditions
Publication date: December 2026Source: Journal of Nuclear Materials, Volume 634Author(s): Fengnian Zhuang, Gaosheng Yan, Hong Chen, Yi Zhang, Wenshan Yu, Minglong Xu, Shengping Shen
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