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 ...

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 ...

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 ...