Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction by Waseda University edited by Sadie Harley, reviewed by Robert Egan Editors' notes ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

It might be difficult to tell from the picture, but you’re looking at a robot that is capable of building and disassembling simple truss structures. We’ll let that sink in for a moment. [Jeremy Blum] ...