A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning framework using LoRA fine-tuning. This framework can not only accurately predict single organic reactions but also achieve the prediction of "one model handling multiple types of reactions." Even using only natural language to describe chemical reactions, the prediction accuracy is comparable to machine learning models based on expert experience. The article was published as an open access Research Article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.

A recent study led by Prof. ZHANG Xiaoming's team at the Institute of Zoology of the Chinese Academy of Sciences (CAS), in collaboration with Prof. Ian T. Baldwin's group at the CAS Center for Excellence in Molecular Plant Sciences, has uncovered a novel ecological strategy. Rather than passively "hitchhiking" within insect vectors, rice viruses actively manipulate plant defense pathways to protect their insect carriers. This discovery reshapes our understanding of plant–virus–insect–parasitoid interactions and provides new insights for sustainable pest and pathogen management.

A research team from the Institute of Earth Environment of the Chinese Academy of Sciences (IEECAS) developed a semi-automated microanalytical method to quantify atmospheric plastic particles and their cross-compartmental fluxes—airborne, dustfall, rain, snow, and dust resuspension—in two major Chinese megacities: Guangzhou and Xi'an.