Innovative machine learning techniques are rapidly transforming particle accelerator physics by integrating advanced data analytics with established accelerator models. This integration has led to ...

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 ...

CHICAGO (CBS) -- A powerful new particle accelerator that could be set up at Fermilab, a telescope to observe the oldest light in the universe, and research to learn more about mysteries such as dark ...

A particle accelerator that produces intense X-rays could be squeezed into a device that fits on a table, my colleagues and I have found in a new research project. The way that intense X-rays are ...

New experimental results show particles called muons can be corralled into beams suitable for high-energy collisions, paving the way for new physics. New experimental results show particles called ...

In 2023, Earth was struck by a subatomic particle so energetic that, on paper, it should not exist. The neutrino, calculated ...

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 ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Deep beneath the border of France and Switzerland is the most massive, most ambitious experiment ever undertaken by humanity. The Large Hadron Collider (LHC) is a particle accelerator that uses a ...

Alex Bogacz, a senior scientist at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility since 1997, has spent his career in accelerator physics solving problems. From ...