This work presents a machine-learning approach that optimizes the learning of atomic interactions across diverse materials. By integrating heterogeneous data, it delivers accurate and transferable ...

A standardized, realistic phantom dataset consisting of ground-truth annotations for six diverse molecular species is provided as a community resource for cryo-electron-tomography algorithm ...