Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...

Microscopists often wish – and intuit – that the microstructures that they measure correlate somehow to bulk properties. However, this correlation can be hard to measure. Machine learning, in ...

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 ...