Particle Physicists Lay Out Future Goals at ‘Snowmass’ Meeting

With a picturesque backdrop of Mt. Rainier, particle physicists from across the United States gathered in Seattle (with more tuning in virtually) to assess the most important science opportunities in their field over the next decade. The Particle Physics Community Planning Exercise was held July 17-26, 2022, at the University of Washington.

People of Argonne’s history: A look at leaders who made Argonne what it is today

Since its founding, Argonne has employed and partnered with innovators whose contributions have dramatically pushed the frontiers of our understanding and improved the world.

Calculating Hadrons Using Supercomputers

Hadrons are elusive superstars of the subatomic world, making up almost all visible matter, and British theoretical physicist Antoni Woss has worked diligently with colleagues at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility to get to know them better. Now, Woss’ doctoral thesis on spinning hadrons has earned him the 2019 Jefferson Science Associates Thesis Prize.

Theoretical breakthrough shows quantum fluids rotate by corkscrew mechanism

Scientists performed simulations of merging rotating superfluids, revealing a peculiar corkscrew-shaped mechanism that drives the fluids into rotation without the need for viscosity.

Argonne’s Valerii Vinokur awarded Fritz London Prize

Valerii Vinokur, a senior scientist and distinguished fellow at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, has been awarded the Fritz London Memorial Prize for his work in condensed matter and theoretical physics.

Ultra-high energy events key to study of ghost particles

Physicists at Washington University in St. Louis have proposed a way to use data from ultra-high energy neutrinos to study interactions beyond the standard model of particle physics. The ‘Zee burst’ model leverages new data from large neutrino telescopes such as the IceCube Neutrino Observatory in Antarctica and its future extensions.

CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap

As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.