2 papers
cond-mat.mtrl-sci2025
Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
Xuhe Gong, Hengbo Zhao, Xiao Fu +6
While traditional trial-and-error methods for designing amorphous alloys are costly and inefficient, machine learning approaches based solely on composition lack critical atomic st…
cond-mat.mtrl-sci2024
Efficient Learning Strategy for Predicting Glass Forming Ability in Imbalanced Datasets of Bulk Metallic Glasses
Xuhe Gong, Jiazi Bi, Xiaobin Liu +4
The prediction of glass forming ability (GFA) and various properties in bulk metallic glasses (BMGs) pose a challenge due to the unique disordered atomic structure in this type of…