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 ...

Before and after: example of image denoising as applied to atomic resolution imaging of a gold nanoparticle. On the left is the original experimental data as captured. On the right is the same image ...

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

Beams of accelerated electrons power electron microscopes, X-ray lasers, medical accelerators and other devices. To optimize the performance of these applications, operators must be able to analyze ...

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 ...