Scientists have reported new clues to solving a cosmic conundrum: How the quark-gluon plasma – nature’s perfect fluid – evolved into the building blocks of matter during the birth of the early universe.
Researchers at Berkeley Lab and the National Institute of Standards and Technology have proposed an experiment that may settle the persistent question: Is gravity truly a quantum force?
Scientists at Berkeley Lab and UC Berkeley have taken the clearest picture yet of electronic particles that make up a mysterious magnetic state called quantum spin liquid. The achievement could facilitate the development of superfast quantum computers and energy-efficient superconductors.
Scientists at Berkeley Lab and UC Berkeley have created a one-atom thin magnet that operates at room temperature. The ultrathin magnet could lead to new applications in computing and electronics, and new tools for the study of quantum physics.
A trio of physicists – including Uroš Seljak of Lawrence Berkeley National Laboratory – has been awarded the 2021 Gruber Cosmology Prize for their work studying the large-scale structure of the universe as well as the properties of its first instant of existence.
A research team co-led by Berkeley Lab has created and observed quasiparticles called 3D hopfions at the nanoscale (billionths of a meter) in a magnetic system. The discovery could advance high-density, high-speed, low-power, yet ultrastable magnetic memory “spintronics” devices.
Researchers have channeled the universe’s earliest light – a relic of the universe’s formation known as the cosmic microwave background (CMB) – to solve a missing-matter mystery and learn new things about galaxy formation. Their work could also help us to better understand dark energy and test Einstein’s theory of general relativity by providing new details about the rate at which galaxies are moving toward us or away from us.
The U.S. Department of Energy has formally approved a key milestone in the High-Luminosity LHC Accelerator Upgrade Project being carried out at eight U.S. institutions, including the DOE’s Berkeley Lab.
Berkeley Lab researchers participated in a study that used machine learning to scan for new particles in three years of particle-collision data from CERN’s ATLAS detector.
A team of researchers at Berkeley Lab used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that occur at CERN’s Large Hadron Collider.