Xiaohao Cao

Machine-Learning-Aided Computational Study of Covalent Organic Frameworks for Reversed C2H6/C2H4 Separation

Chongli Zhong, Hongliang Huang, Zhengqing Zhang, 2022, Industrial & Engineering Chemistry Research.

Predicting of Covalent Organic Frameworks for Membrane-based Isobutene/1,3-Butadiene Separation: Combining Molecular Simulation and Machine Learning

Chongli Zhong, Yuxiu Sun, Qi Han, 2022, Chemical Research in Chinese Universities.

Recovery of molybdenum from uranium raffinate solution containing phosphorus

Yongming Zhang, Hui-juan Deng, Xiaohao Cao, 2020, Separation Science and Technology.

Machine learning aided high-throughput prediction of ionic liquid@MOF composites for membrane-based CO2 capture

Chongli Zhong, Yuxiu Sun, Z. Qiao, 2022, Journal of Membrane Science.

Discovery of High-Performing Metal–Organic Frameworks for Efficient SF6/N2 Separation: A Combined Computational Screening, Machine Learning, and Experimental Study

Chongli Zhong, Hongliang Huang, Zhengqing Zhang, 2023, Industrial & Engineering Chemistry Research.

Integrating Multiscale Simulation with Machine Learning to Screen and Design FIL@COFs for Ethane-Selective Separation.

Zhengqing Zhang, Xiaohao Cao, Qi Han, 2024, ACS Applied Materials and Interfaces.