Author: LU Weigang 

Publisher: School of Chemistry and Materials 

Date: March 6, 2024

In a groundbreaking achievement, the research team from JNU, led by Professor Lu Weigang and Professor Li Dan from the Institute of Supramolecular Coordination Chemistry, has successfully unveiled their latest research findings. Their study, titled Machine Learning Assisted Discovery of Propane Selective Metal Organic Frameworks, has been published in the prestigious Journal of the American Chemical Society (JACS).

(Screenshot of the paper)

The research, spearheaded by Professor Lu Weigang and Professor Li Dan, showcases the team's innovative approach to discovering propane selective metal organic frameworks using machine learning techniques. The paper, authored by doctoral student Wang Ying from the 2022 cohort, highlights the team's dedication to pushing the boundaries of scientific exploration.

JNU stands as the sole corresponding institution for this remarkable research endeavor, underscoring the institution's commitment to advancing cutting-edge scientific research. The study received vital support from various sources, including the National Natural Science Foundation of China's original program, key projects, Guangdong Province's Major Basic and Applied Basic Program, and JNU.

For further details, the paper can be accessed through the following link: https://doi.org/10.1021/jacs.3c14610