At Brookhaven National Laboratory on Long Island, the Relativistic Heavy Ion Collider has powered down for the last time, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Portable particle testing brings contamination analysis directly to the source, supporting faster lubrication maintenance decisions.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The counter continuously monitors hydraulic-fluid cleanliness and is reportedly ideal for preventive maintenance of hydraulic fluid. The TCM oil analyzer is among the latest generation of small-scale ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...

Scientists at the University of North Carolina at Chapel Hill have created a new method of particle tracking based on machine learning that is far more accurate and provides better automation than ...

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...

The latest condition-monitoring sensors keep industrial systems humming. There has arguably never been more pressure on OEMs and machine users to improve maintenance and condition-monitoring practices ...