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Jefferson Lab scientists have developed an enhanced topographic analysis toolkit for improving accelerator performance.
Researchers at PNNL have created the software-defined accelerator (SODA) toolkit to empower researchers to design their own custom accelerators.
To help commercialize advanced accelerators, Fermi engineers work with RadiaBeam Technologies to design and assemble a conduction-cooled cryomodule.
Some highlights of the run include proton-proton smashups, first physics data for sPHENIX, new collisions "seen" by forward detectors at STAR, & more.
A team of scientists has developed a groundbreaking method that harnesses the structure of light to twist & tweak the properties of quantum materials.
Students Will Perform Research at National Laboratories
Combining UAS measurements with surface analysis techniques created a more accurate description of the 3-D structure of aerosol particles.
Machine Learning Could Help Reveal Undiscovered Particles Within Data from the Large Hadron Collider
Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data.
ORNL, Los Alamos National Laboratory, and private industry partner Qubitekk developed the nation’s first industry-led commercial quantum network.
The Proton Power Upgrade of Spallation Neutron Source strengthens Jefferson Lab’s decades-long partnership with Oak Ridge National Laboratory.