Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

Achieving state-of-the-art accuracy in molecular property prediction using self-supervised AI, enabling cost-effective modeling based on electron-level information without quantum calculations ...

Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning electron-level information without requiring costly quantum mechanical ...

Automatically numbering and weighting electronic states instead of taking averages improves estimates of target molecular orbitals.

Schematic diagrams illustrating the atomic arrangement of an MoS₂ specimen observed using 4D-STEM, showing atomic-scale mapping in real-space coordinates x and y and corresponding diffraction patterns ...