Accelerating multi-objective Bayesian optimization of ablation resistance and hardness in ultra-high-temperature ceramics via data augmentation-assisted dual-model prediction using generative adversarial networks

Journal of Alloys and Compounds 2026

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Authors: Errui Jiang, Lingyu Wang, Wenjian Guo, Zhen Wang (72451), Bin Yang, Yicong Ye, Shuxin Bai, Li’an Zhu

DOI: 10.1016/j.jallcom.2026.189181

Cited by: 1

References: 29

Fields of Study & Subjects

Machine Learning in Materials Science High-Temperature Coating Behaviors Advanced ceramic materials synthesis

References 29