WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, ...

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 ...

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 ...

Machine learning can be used to predict the properties of a group of materials which, according to some, could be as important to the 21st century as plastics were to the 20th. Machine learning can be ...

Adhesive materials are a key part our everyday life. Whether it’s in bioimplants, sealing incisions made during surgery, or cements for structural fastening, these materials are crucial throughout the ...

Scientists have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning. The new analytical technique ...