Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...

Reconfigurable structures that can repeatedly change their three-dimensional shape without manual intervention represent a ...

JINAN CITY, SHANDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The global market for three-in-one busbar ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

In this study, a device was designed for tillage of compacted soil in wheel ruts formed by the repeated passage of agricultural machines.[Ed1] Soil parameters were measured, and then the wheel rut ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...

Fabric softener is notoriously divisive. In fact, when we interviewed Rich Handel, a test project leader at Consumer Reports who specializes in laundry, about the things he would never do as a laundry ...

Bearing types and functions—from plain bearings to roller-element bearings Bearing maintenance; the importance of proper lubrication Bearing specialist certification and common manufacturer standards ...

From requirement analysis to risk assessment to addressing engineering challenges, it is during this research phase where much of the real learning occurs. Here in Part 3 of a five-part series, Dr.