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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
Researchers partnered with Samsung Semiconductor’s Advanced Materials Lab to test if their new recipes produced the materials with fewer impurities.
Scientists have developed a cost-effective and environmentally sustainable way to make a popular pain reliever from plants instead of petroleum.
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.
Research News Update Newsletter: April 22, 2024
A Brown University DOE Early Career Award recipient applies physical constraints to improve finite element methods, a computational modeling workhorse