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 ...

A machine-learning model trained on fewer than 300 molecules has flagged diatomic pairs with record-high electric dipole ...

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 ...

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 ...

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