1. 膜技术在水质净化及资源回收中的应用研究
2. 膜材料设计与应用研究
3. 机器学习在膜材料开发中的应用
1. Gao, H., Zhong, S., Dangayach, R., Chen, Y. Understanding and designing a high-performance ultrafiltration membrane using machine learning，Environmental Science & Technology 2023, 57(46), 17831-17840..
2. Gao, H., Zhong, S., Zhang, W., Igou T., Berger E., Reid, E., Zhao, Y., Lambeth, D., Gan, L., Afolabi, M., Tong, Z., Lan, G., and Chen, Y. Revolutionizing membrane design using Machine Learning- Bayesian Optimization，Environmental Science & Technology 2022, 56 (4), 2572-2581 (封面文章、最佳论文）.
3. Gao, H., Chen, W., Xu, C., Liu, S., Tong, X., and Chen, Y. Two-dimensional Ti3C2Tx MXene/GO hybrid membranes for highly efficient osmotic power generation，Environmental Science & Technology 2020, 54 (5), 2931-2940.
4. Gao, H, and Chen, Y. Hybrid Dimensional MXene/CNC framework-regulated nanofiltration membrane with high separation performance，ACS ES&T Water 2023, 3 (7), 1767-1777.
5. Gao, H., Wang, Y., Afolabi, M., Xiao, D., and Chen, Y. Incorporation of cellulose nanocrystals into graphene oxide membranes for efficient antibiotic removal at high nutrient recovery，ACS Applied Materials & Interfaces 2021, 13 (12), 14102-14111.
1. Gao, H., & Chen, Y. “Hybrid dimensional material interlayer regulated thin film composite nanofiltration membrane for nutrients recovery", US Patent App. 18/196,851, 2023.
1. 泰山学者计划青年专家
2. 山东省优秀青年科学基金项目（海外）
3. 山东大学齐鲁青年学者计划（第二层次）
4. 国家重点研发计划子课题
