博士后
韩民(Min HAN) / 博士后
研究方向:持久性、迁移性毒害物质与化学污染数据科学
联系方式:18362082789
电子邮件:hanmin@gig.ac.cn

教育经历:

2020年于南京信息工程大学获得理学学士学位

2025年于中国科学院广州地球化学研究所获得理学博士学位

博士导师:金彪 研究员

合作导师:彭平安 研究员;金彪 研究员

获奖以及荣誉:

2025年 中国科学院院长优秀奖

2024年 中国科学院大学三好学生标兵

2022年 研究生国家奖学金

2020年 中国科学院大学大学生奖学金 

论文成果:

第一作者:

1.      Han M,Liang J,Wang Z,et al.  Accurate Prediction of the Diffusion Coefficients of Organic Compounds in Water by Multimodal Learning. The Journal of Physical Chemistry A  2025,129,5189-5199.

2.      Han M,Jin B,Hans Peter H. Arp. The active soil layer of thawing permafrost is an emergent source for organic substances of concern to water resources. Environmental Science & Technology Letters 2025,12,558-566.

3.      Han M,Liang J,Jin B,et al. Machine learning coupled with causal inference to identify COVID-19 related chemicals that pose a high concern to drinking water. iScience 2024,27(2):109012.

4.      Han M,Jin B,Liang J,et al. Developing machine learning approaches to identify candidate persistent,mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure. Water Research 2023 244,120470.

5.      韩民,黄晨,刘世洋,等,2022. 页岩气开采水力压裂返排水中化学污染物的组成特征[J].环境化学.41(01):1-10.

6.      Wang Z,Han M,Jin B. Identifying Candidate Persistent,Mobile,and Toxic (PMT) and Very Persistent and Very Mobile (vPvM) Substances in Shale Gas Drilling Fluids by Combining Nontarget Analysis and Machine Learning Model. Environmental Science & Technology Letters 2024,11,2,114-121. (共同一作)

共同作者:

7.      Huang C,Jin B,Han M,et al. Identifying persistent,mobile and toxic (PMT) organic compounds detected in shale gas wastewater. Science of The Total Environment 2023,858,159821.

8.      Huang,Y,You,Y,Wu,M,Han,M,et al. Chemical characterization and source attribution of organic pollutants in industrial wastewaters from a Chinese chemical industrial park[J]. Environmental Research,2023,229: 115980.

9.      Jin B,Han M,Huang C,et al. Towards improved characterization of the fate and impact of hydraulic fracturing chemicals to better secure regional water quality. Environmental Science: Processes & Impacts 2022,24,(4),497-503.

10.  Huang C,Jin B,Han M,et al. The distribution of persistent,mobile and toxic (PMT) pharmaceuticals and personal care products monitored across Chinese water resources. Journal of Hazardous Materials Letters 2021,2,100026.

11.  王紫维,韩民,金彪. 机器学习在化合物属性预测中的应用 [J]. 环境化学,2024,43: 69-81.

专利成果:

中国发明专利:韩民,金彪. 一种基于机器学习的化合物持久性筛查方法,专利号:202210664747.1.(已授权)