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

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by ...

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

Two independent lines of evidence from the world’s most powerful particle experiments are converging on the same ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have uncovered experimental evidence that ...

Spin correlations within a particle collider may help crack one of the biggest mysteries known, said physicist Zhoudunming Tu.

Black holes remain one of the most enigmatic objects in the cosmos, offering profound insights into the nature of gravity and spacetime. Research on particle collisions in the intense gravitational ...

The Large Hadron Collider may soon uncover the secrets of dark photons. Should we be scared? (Spoiler: no). Back in the summer of 2022, TikTok lost its mind over news that the Large Hadron Collider — ...

The Relativistic Heavy Ion Collider , the largest particle collider in the United States, collided its last particles in early February. RHIC is a massive accelerator ring and set ...

Researchers have developed a groundbreaking 'Hybrid Supraparticle Synthesis Technology' that attaches inorganic nanoparticles to the surface of polymer microparticles through simple mechanical ...

Particle damping has emerged as an effective passive method to suppress unwanted vibrations in a range of engineering applications. By utilising the inelastic collisions and friction between granular ...