3.机器学习在环境领域的应用

代表性论文

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）.

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.

6. Gao, H., Zhang, B., Tong, X., & Chen, Y. Monovalent-anion selective and antifouling polyelectrolytes multilayer anion exchange membrane for reverse electrodialysis. Journal of Membrane Science, 2018, 567, 68-75.

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.

2. Chen, Y., Gao, H., Lan, G., Zhang, W., Hu, Y., & Xie, Y. “Machine learning-assisted rationale design of separation membrane”, PCT/US2023/018534, 2023.

3.周雪飞，张亚雷，张静，钱雅洁， 高海萍 ，一种粒径可控的纳米过氧化钙改性方法，CN201410175263.6，2016.

本科生：无机化学（实验）

山东大学齐鲁青年学者，2023