Scientists saw a quark plowing through primordial plasma for the first time, offering a rare look at the first moments after ...

The universe we live in and everything in it burst into existence roughly 13.8 billion years ago. In its infancy, the cosmos was filled with a dense primordial “soup” of quark-gluon plasma, which, as ...

Investing.com -- OpenAI’s GPT-5.2 has made a breakthrough in theoretical physics by discovering that certain gluon particle interactions, previously thought impossible, can occur under specific ...

Particle collisions recreating the quark-gluon plasma (QGP) that filled the early universe reveal that droplets of this primordial soup swirl far faster than any other fluid. The new analysis of data ...

What does quark-gluon plasma -- the hot soup of elementary particles formed a few microseconds after the Big Bang -- have in common with tap water? Scientists say it's the way it flows. What does ...

This hydrodynamic simulation shows the flow patterns, or “vorticity distribution,” from a smoke ring-like swirling fluid around the beam direction of two colliding heavy ions. The simulation provides ...

Comparing the number of direct photons emitted when proton spins point in opposite directions (top) with the number emitted when protons collide head-to-tail (bottom) revealed that gluon spins align ...

Suppression of a telltale sign of quark-gluon interactions indicates gluon recombination in dense walls of gluons. Previous experiments have shown that when ions are accelerated to high energies, ...

What do sand and quarks have in common? The answer, according to physicists in the US, is that they both behave like liquids under certain circumstances. When Sidney Nagel and colleagues at University ...

Researchers at Brookhaven National Laboratory's RHIC particle accelerator have determined that an exotic form of matter produced in their collisions is the most rapidly spinning material ever detected ...

New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification ...