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.
The NOvA particle physics experiment drew heavily upon the computing power at Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC) in a new analysis that took a deep dive into experimental data about neutrino interactions and found evidence of antineutrino oscillation.
From moon rocks to meteorites, and from space dust to a dinosaur-destroying impact, the Department of Energy’s Berkeley Lab has a well-storied expertise in exploring samples of extraterrestrial origin.
Defects and jagged surfaces at the edges of nanosized platinum and gold particles are key hot spots for chemical reactivity, researchers confirmed using a unique infrared probe.
Berkeley Lab’s Nuclear Data Group is conducting new experiments to address common data needs in nuclear medicine, nuclear energy and fusion R&D, security, and counterproliferation work.
Scientists have enlisted the exotic properties of graphene to function like the film of an incredibly sensitive camera system in visually mapping tiny electric fields. They hope to enlist the new method to image electrical signaling networks in our hearts and brains.
A set of new laser systems and proposed upgrades at Berkeley Lab’s BELLA Center will propel long-term plans for a more compact and affordable ultrahigh-energy particle collider.
Motivated by public hazards associated with contaminated sources of drinking water, a team of scientists has successfully developed and tested tiny, glowing crystals that can detect and trap heavy-metal toxins like mercury and lead.
A combination of experiments, including X-ray studies at Berkeley Lab, revealed new details about pesky deposits that can stop chemical reactions vital to fuel production and other processes.
Scientists have produced detailed 3-D visualizations that show an unexpected connectivity in the genetic material at the center of cells, providing a new understanding of a cell’s evolving architecture.