代表性论文或专著 1. Huiran Zhang, Yudian Lin, Shengzhou Li, Mengmeng Dai, Yu Zhang, Lei Huang, Junjie Pang, Pin Wu, Junjie Peng, Zheng Tang, Peng Ding, Xiao Wei, Na Song, Dongbo Dai, Substructure-enhanced MPNN for polymer discovery and knowledge: a study in predicting glass transition temperature, Macromolecules, 2025, 58: 9515-9527; 2. Huiran Zhang, Mengmeng Dai, Yudian Lin, Baoyu Xu, Pin Wu, Lei Huang, Huanyu Xu, Shengzhou Li, Yan Xu, Zheng Tang, Jincang Zhang, Renchao Che, Tao Xu, Dongbo Dai, Subgroup discovery similarity score (SDSS): A significant criterion for the integration of statistical knowledge into machine learning in materials science, Materials Today Physics, 2025, 56: 101772; 3. Dongbo Dai, Guangjie Zhang, Xiao Wei, Yudian Lin, Mengmeng Dai, Junjie Peng, Na Song, Zheng Tang, Shengzhou Li, Jiwei Liu, Yan Xu, Renchao Che, Huiran Zhang*. A GPT-assisted iterative method for extracting domain knowledge from a large volume of literature of electromagnetic wave absorbing materials with limited manually annotated data[J]. Computational Materials Science, 2025, 245:113431. 4. H Zhang, R Hu, X Liu, S Li, G Zhang, Q Qian, G Ding, D Dai. An end-to-end machine learning framework exploring phase formation for high entropy alloys[J]. Transactions of Nonferrous Metals Society of China, 2022； 5. Dai D, Liu Q, Hu R, et al. Method construction of structure-property relationships from data by machine learning assisted mining for materials design applications[J]. Materials & Design, 2020, 196: 109194. 6. Dai D, Xu T, Wei X, et al. Using machine learning and feature engineering to characterize limited material datasets of high-entropy alloys[J]. Computational Materials Science, 2020, 175: 109618. 7. Huiran Zhang, Zhiting Guo, Hongqing Hu, Gaofeng Zhou, Qing Liu, Yan Xu, Quan Qian and Dongbo Dai，A novel structure-property relationship model based on machine learning[J]. Modelling and Simulation in Materials Science and Engineering, 2020, 28(3): 035002. |
