AI framework achieves breakthrough in predicting multiple organic chemical reactions
Researchers at Wuhan University and the Shanghai Artificial Intelligence Laboratory have developed LoRA-Chem, a modular machine learning framework that accurately predicts diverse organic chemical reactions using a single unified model. The system achieves state-of-the-art performance whilst requiring only natural language descriptions of reactions as input.













