2 papers
cond-mat.mtrl-sci2026
The FAST Framework: Developing a Data-Efficient Machine Learning Potential to Decode Superionic Transition-Induced Thermophysical and Kinetic Anomalies in UO2 under Extreme Conditions
Fengnian Zhuang, Gaosheng Yan, Hong Chen +4
Uranium dioxide () serves as the predominant nuclear fuel globally. Despite its widespread application, evaluating its mechanical, thermophysical, and species transport behav…
cond-mat.mtrl-sci2025
Size-Dependent Tensile Behavior of Nanocrystalline HfNbTaTiZr High-Entropy Alloy: Roles of Solid-Solution and Short-Range Order
Yihan Wu, Gaosheng Yan, Pengfei Yu +3
This study investigates the size-dependent mechanical behavior of the HfNbTaTiZr refractory high-entropy alloy (RHEA) under uniaxial tension, with a focus on the effects of random…