Detecting extreme magnetic fields in heavy-ion collisions
Peer-Reviewed Publication
Updates every hour. Last Updated: 15-Dec-2025 12:11 ET (15-Dec-2025 17:11 GMT/UTC)
Heavy-ion collisions involve the collision of positively charged nuclei of heavy elements at nearly the speed of light. These collisions create a special state of matter called the quark-gluon plasma (QGP), accompanied by intense magnetic fields, resembling the early universe. However, the evolution of these magnetic fields over time has been hard to track. In this study, researchers review the recent experimental efforts to study the time-dependent evolution of magnetic fields generated in these collisions.
Researchers at the University of South Australia are calling for a major shift in how cities manage tree root intrusions into household sewer systems that cost millions of dollars in repair bills each year.
Low carbon fuel policies are intended to reduce greenhouse gas (GHG) emissions from transportation. However, rigid carbon intensity (CI) accounting procedures in current policies may limit CI responsiveness across candidate sites and facilities. This study examines how low carbon fuel programs capture or overlook spatial variability and net electricity production in biofuel carbon intensity, influencing crediting outcomes and fuel selling prices.
The University of Texas at Arlington has launched a $2.1 million supercomputing hub, expanding its capacity to support data-intensive research, including work powered by artificial intelligence and other advanced technologies.
The Department of Energy’s Oak Ridge National Laboratory and artificial intelligence company Atomic Canyon signed a memorandum of understanding to streamline the licensing process for nuclear power plants with artificial intelligence for license application reviews.