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 ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

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 new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

The world is changing rapidly with the development of information technologies. Mechanical engineering is no exception. Digital technologies are being introduced into all areas of production, ...

MILWAUKEE — As part of an effort to become a national leader in education of applied artificial intelligence, an engineering college in Milwaukee shared plans for a school and lab building at its ...