Passive sampling techniques have emerged as indispensable tools in the monitoring of environmental pollutants. These methods involve the in situ accumulation of contaminants over extended periods, ...

Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...

In a study published in PNAS, a research team led by SHI Xinghua from the National Center for Nanoscience and Technology (NCNST) of the Chinese Academy of Sciences, in collaboration with GAO Huajian's ...