Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive ...

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 ...

Osaka, Japan – Researchers have uncovered a counterintuitive phenomenon in collision dynamics: high-speed particles bounce back from wet walls much more strongly than expected. Integrating ...

Muons are one of the key subatomic particles for discovering new physics, but tracking them after particle collisions can be difficult and prone to error. A new study ...

Gravity is a bully it pushes particles around so much on Earth that we rarely see their true nature. This is a feeling now ...

Estimating things that exist is generally easy, but when it comes to estimating things that do not exist, it’s more difficult. This is something physicists from Poland and the UK are well aware of. To ...

High-energy particle collision data analysis encompasses the entire workflow from proton–proton interactions at facilities such as the Large Hadron Collider to the extraction of physical observables ...

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

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. A window into how visible matter emerges from the "nothing" of vacuum ...

In the ongoing quest to unravel the universe's deepest mysteries, scientists at the European Organization for Nuclear ...

This study develops a coupled computational fluid dynamics (CFD) and discrete element method (DEM) two-phase flow model to investigate particle deposition behaviors in industrial pipeline ...