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

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

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 ...

In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at ...

Whenever SLAC National Accelerator Laboratory's linear accelerator is on, packs of around a billion electrons each travel together at nearly the speed of light through metal piping. These electron ...

Optimization is essential in real-life mechanical engineering problems that mostly are nonlinear, depend on mixed decision variables, and are usually subject to constraints. However, most of the ...

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...

New analysis by Francesca Capel and Nadine Bourriche narrows possible sources of the Amaterasu cosmic ray, suggesting nearby galaxies like M82 rather than the Local Void.

Tenjimbayashi and colleagues note that particle-coated droplets slipped off the substrate much more easily than did non-coated particles on a coated substrate. That’s because of differences between ...