Fu SONG
Research Assistant Professor
Self-introduction:
Engaged in AI and computational chemistry research for many years, possessing excellent scientific research and innovation capabilities. The research results can be widely applied in fields, such as bioinformatics and AI pharmaceuticals.
Research Interests：
◆ My main research focus is on the application of artificial intelligence in biology and chemistry. I emphasize the combination of theoretical simulation and experimental characterization. By utilizing methods like artificial intelligence and molecular dynamics, I study the structure, properties, and interactions of proteins and small molecules. This research aims to aid foundational life science research and drug development.
Professional Experience：
◆ 2023. Joined Southern University of Science and Technology as Research Assistant Professor.
Educational Background：
◆ 2020. Graduated with a Ph.D. from Queen Mary University of London, UK
Selected Publication：
1. F. Song, et al. Resolving nanoscopic structuring and interfacial THz dynamics in setting cements. Materials Advances. 2022
2. D. Toroz, F. Song, et al. A database of solution additives promoting Mg2+ dehydration and the onset of MgCO3 nucleation. Crystal Growth & Design. 2022
3. D. Toroz, F. Song, et al. New insights into the role of solution additive anions in Mg2+ dehydration. Cryst. Eng. Comm. 2021
