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 machine learning approach could allow computers to determine the electronic structure of molecules without having to use the most resource-intensive equations of density functional theory, new ...

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] ...

This paper studies the relationship between export structure and growth performance. We design an export recommendation system using a collaborative filtering algorithm based on countries' revealed ...