职称

副教授

电子邮件

hrzhangsh@shu.edu.cn

办公室

计1017室

研究方向

机器学习、人工智能，面向交叉学科（材料、医学）的人工智能方法应用，脑认知，脑机接口技术

个人简介

张惠然（男）工学博士，副教授，博士生导师，2011年毕业于日本富山大学生命融合科学教育部。主要研究领域：模式识别、机器学习、类脑计算，面向材料、医学、认知等跨学科领域的数据处理方法。硕博期间主要从事脑认知研究，自2012年以来参与到上海市材料基因工程研究院建设工作中，参与多项科技部重点研发计划。发表SCI检索论文近50余篇，EI论文10余篇。

实验室主页：https://www.dlcloud.info/。

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. Huibin Zhang, Xiaodi Zhou, Mingyue Yuan, Xuhui Xiong, Xiaowei Lv, Yihao Liu, Hualiang Lv, Yuxiang Lai, Jincang Zhang, Huiran Zhang*, Deng Pan, Renchao Che. Highly Selective Nano-Interface Engineering in Multishelled Nanocubes for Enhanced Broadband Electromagnetic Attenuation[J]. Advanced Functional Materials, 2023,

5. Xiao Wei, Yunong Zhang, Xi Liu, Junjie Peng, Shengzhou Li, Renchao Che, Huiran Zhang*, A domain knowledge enhanced machine learning method to predict the properties of halide double perovskite A2B+B3+X6, Journal of Materials Chemistry A , 2023, 11: 20193-20205;

6. H Zhang, X Liu, G Zhang, Y Zhu, S Li, Q Qian, D Dai, R Che, T Xu, Deriving equation from data via knowledge discovery and machine learning: A study of Young’s modulus of Ti-Nb alloys[J]. Computational Materials Science, 2023, 228:112349.