汤红健,工学博士。1991年6月生,中共党员,江苏南通人。2010年-2014年就读于东南大学吴健雄学院热能与动力工程专业,获学士学位;2014年-2019年就读于东南大学能源与环境学院动力工程及工程热物理专业,获博士学位;期间国家公派赴美国佐治亚理工学院,进入理论计算化学国际知名学者David S. Sholl教授课题组访问学习。2019-2021年在新加坡国立大学化工与生物分子工程系从事博士后研究工作,合作导师为Jiang Jianwen教授。2022年3月进入东南大学能源与环境学院工作,任副研究员。 主要研究方向为能源环境材料的高通量计算筛选与机器学习设计、燃煤大气污染控制和固体废弃物处理等。在AIChE Journal, Chemical Engineering Science, Langmuir, Applied Catalysis B: Environmental, ACS Applied Materials and Interfaces, Journal of Hazardous Materials等能源、化工、环境领域国内外知名期刊发表论文20余篇,并担任多个国际学术期刊的审稿人。
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本科生课程:《固体与半导体物理》 本科生课程:《人工智能通识导论》 研究生课程:《文献精读与工程研究》(东南-蒙纳士大学联合研究生院)
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[1] 国家自然科学基金(青年项目),机器学习助力氧解耦载氧体的高通量筛选及载氧体释氧性能验证(52206135),2023.01-2025.12,主持、在研; [2] 江苏省基础研究计划自然科学基金(青年基金项目),基于大数据驱动的氧解耦载氧体高通量筛选与设计(BK20220836),2022.07-2025.06,主持、在研; [3] 东南大学高层次人才科研启动项目,2022-2024,主持、在研; [4] 国家自然科学基金联合基金项目(重点支持项目)(U22A20435),“太阳能辅助固体材料捕集、转化CO2基础研究”,2023.01-2026.12,参与、在研。 [5] 江苏省碳达峰碳中和科技创新专项(前沿基础),基于固体吸收剂/催化剂的多源CO2低能耗捕集与高效转化利用基础研究(BK20220001),2022.01-2024.12,参与、在研; [6] 国家自然科学基金(面上项目),含硫废气改性炭基吸附剂烟气脱汞及再生机理研究(51676041),2017.01-2020.12,参与、结题; [7] 国家重点研发专项,汞形态/浓度高精度在线监测技术研发及应用示范(2016YFC0201105),2016.06-2021.03,参与、结题;
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Tang, H., Xu, Y., Duan, L.*, Duan, Y.*. Reclaiming Ti-bearing blast furnace slag into wide-temperature and sulfur-resistant catalyst to boost flue gas demercuration.Chemical Engineering Science, 2024, in press. Xu, Z., Zhu, C., Zhang, Y., Li, L., Sun, Z., Tang, H., Duan, L*. High-temperature potassium capture by ilmenite ore residue. Proceedings of the Combustion Institute, 2024, 40(1-4): 105531. Yiyuan Yang, Zhe Jia, Qianqian Wang, Yujing Liu, Ligang Sun, Bo Sun, Juan Kuang, Shoujun Dai, Jianguo He, Sida Liu, Lunbo Duan, Hongjian Tang, Lai-Chang Zhang, Jamie J Kruzic, Jian Lu, Baolong Shen. Vacancy induced microstrain in high-entropy alloy film for sustainable hydrogen production under universal pH conditions. Energy & Environmental Science, 17, 5854-5865, 2024. Z Bao, C Lu, Q Liu, F Ye, W Li, Y Zhou, L Pan, L Duan, H Tang, Y Wu, L Hu*, ZM Sun. An acetate electrolyte for enhanced pseudocapacitve capacity in aqueous ammonium ion batteries. Nature Communications, 2024, 15(1): 1934. Lu, J., Tang, H.*, Duan, L.*. Leveraging long short-term memory networks and transfer learning for the soft-measurement of flue gas flowrate from coal-fired boilers. Asia‐Pacific Journal of Chemical Engineering, 2024, e3136. Li, Z., Tang, H., Sun, Z., Chen, C., Duan, L.*. Unraveling the Structure–Reactivity Relationship of CuFe2O4 Oxygen Carriers for Chemical Looping Combustion: A DFT Study. Energy & Fuels, 2023, 37 (14), 10521-10530 Tang, H., Duan, L., & Jiang, J.. Leveraging Machine Learning for Metal–Organic Frameworks: A Perspective. Langmuir, 2023, 39(45): 15849-15863. Tang, H., Jiang, J*. Active learning boosted computational discovery of covalent–organic frameworks for ultrahigh CH4 storage. AIChE Journal, 2022, e17856. Xu, Y., Tang, H.*, Liu, L., Hua, M., Chen, K., Duan, Y*. Hierarchical Fe/ZSM-5 zeolites for efficient Hg0 removal from coal-fired flue gas. Chemical Engineering Journal, 2022: 138180. Tang, H., Jiang, J*. In silico screening and design strategies of ethane‐selective metal–organic frameworks for ethane/ethylene separation. AIChE Journal, 2021, 67(3): e17025. (Editor’s choice). Xu, Y., Hua, M., Dong, X., Chen, C., Duan, Y.*, Tang, H.*. From scrap polystyrene foam to efficient demercurizer: In-situ synthesis of Fe-embedded hyper-cross-linked polymers. Applied Catalysis B: Environmental, 2021, 285: 119791. Tang, H., Xu, Q., Wang, M., Jiang, J*. Machine-learning-assisted discovery of metal–organic frameworks for propane/propylene separation, ACS Applied Materials and Interfaces,2021, 13 (45): 53454–53467. Cai, T., Chen, X.*, Tang, H.*, Zhou, W., Wu, Y., & Zhao, C.. Unraveling the disparity of CO2 sorption on alkali carbonates under high humidity. Journal of CO2 Utilization, 2021, 53: 101737. Tang, H., You, W., Wang, Z., Li, C., Zhu, C., Cai, L., Duan, Y.* Detrimental effects of SO2 on gaseous mercury (II) adsorption and retention by CaO-based sorbent traps: Competition and heterogeneous reduction. Journal of Hazardous Materials, 2020, 387: 121679. Tang, H., Fang, H., Duan, Y.*, Sholl, D. S*. Predictions of Hg0 and HgCl2 Adsorption Properties in UiO-66 from Flue Gas Using Molecular Simulations. The Journal of Physical Chemistry C, 2019, 123(10): 5972–5979. Tang, H., Li, C., Duan, Y.*, Zhu, C., Cai, L. Combined experimental and theoretical studies on adsorption mechanisms of gaseous mercury (II) by calcium-based sorbents: The effect of unsaturated oxygen sites. Science of The Total Environment, 2019, 656, 937–945. Tang, H., Duan, Y.*, Zhu, C., Cai, T., Li, C., Cai, L. Theoretical evaluation on selective adsorption characteristics of alkali metal-based sorbents for gaseous oxidized mercury. Chemosphere, 2017, 184, 711–719. Tang, H., Duan, Y.*, Zhu, C., Li, C., She, M., Zhou, Q., Cai, L. Characteristics of a biomass-based sorbent trap and its application to coal-fired flue gas mercury emission monitoring. International Journal of Coal Geology, 2017, 170, 19–27. 汤红健, 李春峰, 段钰锋*, 朱纯, 郑逸武, 蔡亮. 钙基吸附剂对氧化态汞的选择性吸附机理研究[J]. 工程热物理学报. 2019, 40(3):697-705. Tang, H., Duan, Y.*, Zhu, C., Zhou, Q., She, M., Cai, L. A novel carbon trap sampling system for coal-fired flue gas mercury measurement. Journal of Southeast University (English Edition),2015, 31(2): 244–248.
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[1] 段钰锋; 李春峰; 汤红健; 朱纯; 郑逸武; 姚婷. 一种氧化态汞选择性吸附剂及制备方法. 国家发明专利,申请号:CN201810177713.3;申请日:2018年3月2日;公开(公告)号:CN108246243B;公开(公告)日:2020.03.31。 |
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[1] “建行杯”江苏大学生创新大赛二等奖(2024年),指导教师 [2] 全国大学生节能减排竞赛国际金奖(2023年),指导教师 [3] 中国国际“互联网+”大学生创新创业大赛国际赛道铜奖(2023年),指导教师 [4] 江苏省第九届“互联网+”大学生创新创业大赛高教主赛道二等奖(2023年),指导教师 [5] 东南大学优秀毕业生 (2014年)
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博士研究生 1. 厉志鹏,2022.03-至今,《基于机器学习的氧解耦载氧体材料高通量筛选设计与释氧机理研究》(协助指导) 2. 贾九阳,2024.09-至今,《待定》(协助指导) 硕士研究生 1. 陆佳慧,2022.03-2024.08,《基于数据驱动的燃煤电站锅炉CO2排放关键参数校验及低碳燃烧运行优化》(协助指导) 2. 江宇泷(东蒙),2022.09-至今,《数据驱动化学链氧解耦载氧体材料的设计筛选》 3. 范圣玮,2022.09-至今,《高硫工况烧结烟气半干法脱硫添加剂筛选及脱硫灰资源化利用研究》(协助指导)
4. 杨阳,2023.09-至今,《待定》 5. 殷玥,2023.09-至今,《待定》(协助指导) 6. 沈至涵,2024.09-至今,《待定》
欢迎对相关研究领域感兴趣的学生加入课题组https://power.seu.edu.cn/dlb/
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