师资
索红日
研究副教授
个人介绍
南方科技大学创新创业学院研究副教授。吉林大学化学系博士毕业,2014年任牛津大学化学系SCG-COE 技术研发中心& Wolfson 催化中心博士后研究员。曾获牛津大学Alan Howe Prize(2016、2017年度最佳导师奖),牛津大学 Balliol 学院 Holywell Manor荣誉成员。致力于功能无机材料的设计合成以及在Green Chemistry 、碳减排和新能源等领域的应用。独立承担国自然青年基金以及科技部重点研发计划专项子课题。发表高水平国际期刊论文20余篇,功能材料专著1部,申请/授权发明专利10余项。入选深圳市海外高层次人才计划。
研究方向
功能无机材料的设计合成及其在绿色化学、碳减排与清洁能源中的应用。目前带领团队致力于人工智能辅助开发新功能材料领域,将人工智能、Data-Driven 等前沿手段应用于催化剂材料和催化活性之间构-效关系模型的建立以及训练;重点探索“数据驱动(AI)模型—自动化实验室—数字催化平台”三位一体的科研新范式。
教育经历
2013 - 2014 牛津大学,化学学院,博士联培
2011 - 2015 吉林大学,化学学院,博士
2009 - 2011 吉林大学,化学学院,硕士
工作经历
2022 至今,南方科技大学,创新创业学院,研究副教授
2019 - 2022,南方科技大学,工学院,研究助理教授
2016 - 2018,牛津大学, 化学系, 指导教师(无机化学、物理化学)
2014 - 2019,牛津大学,化学系,博士后
项目经验
1、国家科技部项目-国家重点研发计划子课题 项目负责人
2、国家自然科学基金青年基金 项目负责人
3、广东省“珠江人才计划”引进创新创业团队 核心成员
4、深圳市科创委配孔雀项目 核心成员
荣誉及奖励
1、牛津大学 The Alan Howe Prize 获得者(2016、2017 最佳指导教师奖)
2、牛津大学 Balliol 学院 Holywell Manor 成员
3、深圳市海外高层次人才
代表性论文和专利
1. Suo, H., W Dong., Z Li., Electroreduction-coupled super-stable mineralization for metal-organic complex wastewater treatment: Achieving the discharge standard and metal resource recovery, Journal of Environmental Chemical Engineering 13 (2025) 119477
2. Chen, Y., Li, R., Suo, H.(corresponding author), & Liu, C. (2023). Evaluation of a data-driven, machine learning approach for identifying potential candidates for environmental catalysts: From database development to prediction. ACS ES&T Engineering, 1(8), 1246–1257.
3. Le Pivert, M., Suo, H., Tang, G., Qiao, H., Zhao, Z., Martin, N., Leprince-Wang, Y. (2022). Improving natural sunlight photocatalytic efficiency of zno nanowires decorated by iron oxide cocatalyst via a simple drop method. Materials Chemistry and Physics, 275, 125304.
4. Chen, Y., Suo, H.(corresponding author), Li, R., & Liu, C. (2021). Iterative Approach of Experiment−Machine Learning for Efficient Optimization of Environmental Catalysts. ACS Environ. Sci. Technol. 2023, 57, 18080−18090
5. Kwok, W. J., Suo, H., Chen, C., Leung, D. J., Buffet, J.-C., & O’Hare, D. (2021). Synthesis of dense porous layered double hydroxides from struvite. Green Chemistry, 23(4), 1616–1620. (2021 Green Chemistry Hot Articles)
6. Suo, H., Duan, H., Chen, C., Buffet, J.-C., & O’Hare, D. (2019). Bifunctional acid–base mesoporous silica@ aqueous miscible organic-layered double hydroxides. RSC advances, 9(7), 3749–3754.
7. Zhu, X., Chen, C., Suo, H., Wang, Q., Shi, Y., O’Hare, D., & Cai, N. (2019). Synthesis of elevated temperature CO2 adsorbents from aqueous miscible organic-layered double hydroxides. Energy, 167, 960–969.
8. Suo, H., Chen, C., Buffet, J.-C., & O’Hare, D. (2018). Dendritic silica@ aqueous miscible organic-layered double hydroxide hybrids. Dalton Transactions, 47 (46), 16413–16417.
9. Li, M. M.-J., Chen, C., Ayvalı, T., Suo, H., Zheng, J., Teixeira, I. F., ... Tsang, S. C. E. (2018). CO2 hydrogenation to methanol over catalysts derived from single cationic layer cuznga ldh precursors. ACS Catalysis, 8(5), 4390–4401.
10. Suo, H., Zeng, S., Wang, R., Zhang, Z., & Qiu, S. (2015). Syntheses, characterizations, and catalytic activities of mesostructured aluminophosphates with tailorable acidity assembled with various preformed zeolite nanoclusters. Journal of Porous Materials, 22(2), 529–536.
11. Suo, H., Feng, J., Liu, C., Meng, F. (2022). SCR catalyst with core-shell structure and anti-SO2 properties. Patent NO.: ZL 2022102757947, China. (授权)
12. Suo, H., Liu, C., Li, Z. (2022). UV resistant / flame retardant composites and products. Patent NO.: ZL 2022102758009, China. (授权)
13. Suo, H., Liu, C., Feng, J. (2021). Core-shell structure flame retardant and its preparation method. Patent NO.: ZL 2021112279203, China. (授权)
14. Suo, H., Liu, X., Cao, D., Liu, K. (2022). A novel metal catalyst for Methanol-to-Hydrogen. Patent NO.: ZL 202210305552.8, China. (授权)
15. D,O’Hare, C., Chen,J,zheng , Suo, H. (2023) CO2 to methanol using core shell materials, OUI 17084, UK. (2025于牛津大学OXFORD INNNOVATION 商业转让)
16. Qiao, H., Suo, H., Hu, S., Tang, G., Liu, C. (2022). Preparation and application of single atom catalytyst. Patent NO.: PSU292022004, China. (授权)
17. Liu, C., Chen, Y., Li, R., Suo, H. (2021). Machine learning software for novel environmental materials. Patent NO.: 2022R11S0253556, China. (授权)
