Chen-Xuan Li

Language models as QSPR predictors: Unleashing potential through in-context learning and instruction tuning

The accuracy, generalizability, data scalability, and ease of use of this work demonstrate that FuelProp-LM can serve as a practical and flexible tool for fuel property prediction and play a significant role in future AI-assisted fuel design.