Both systems are powered by AMD GPUs—Frontier is equipped with 9,408 AMD EPYC processors and 37,632 AMD Instinct MI250X accelerators, while El Capitan features 44,544 of the newer AMD Instinct MI300A accelerators.
Given the success with this simulation, Ansys has hailed AMD’s Instinct GPUs for cutting the simulation time. According to the company, this milestone could dramatically speed up the design iterations and deliver more accurate performance forecasts for industrial systems.
Recent physics studies have discovered that quarks and gluons inside protons, which are subatomic positively charged particles, exhibit maximal quantum entanglement at high energies. Entanglement is a physical phenomenon that entails correlations between distant particles that cannot be explained by classical physics theories, resulting in the state of one particle influencing that of another.
Researchers at Stony Brook University and the Brookhaven National Laboratory recently set out to better understand what this recent finding could mean for hadronization, the process by which quarks and gluons form hadrons, which are particles that can be detected experimentally. Their paper, published in Physical Review Letters, introduces a new approach to probe and study hadronization by leveraging quantum entanglement.
“Our study originated from the intriguing observation that the internal structure of protons at high energies exhibits maximal quantum entanglement,” Charles Joseph Naim, corresponding author for the paper, told Phys.org.
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UPTON, N.Y. — High temperatures and ionizing radiation create extremely corrosive environments inside a nuclear reactor. To design long-lasting reactors, scientists must understand how radiation-induced chemical reactions impact structural materials. Chemists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Idaho National Laboratory recently performed experiments showing that radiation-induced reactions may help mitigate the corrosion of reactor metals in a new type of reactor cooled by molten salts. Their findings are published in the journal Physical Chemistry Chemical Physics.
“Molten salt reactors are an emerging technology for safer, scalable nuclear energy production. These advanced reactors can operate at higher, more efficient temperatures than traditional water-cooled reactor technologies while maintaining relatively ambient pressure,” explained James Wishart, a distinguished chemist at Brookhaven Lab and leader of the research.
Unlike water-cooled reactors, molten salt reactors use a coolant made entirely of positively and negatively charged ions, which remain in a liquid state only at high temperatures. It’s similar to melting table salt crystals until they flow without adding any other liquid.
K2-360 is a newly found planetary system with a super-dense planet, likely the core of a former larger world, shaped by dynamic interactions with its companion. An international team of researchers from Japan and Europe has discovered a new multi-planet system orbiting a Sun-like star. Among the
A research team at Clarkson University has developed a method to effectively destroy per- and polyfluoroalkyl substances (PFAS) on spent sorbents, addressing a critical environmental challenge.
Porton Down, the government’s top-secret science and technology campus, is home to what may be the world’s deadliest freezer
Quantum computers promise to outperform today’s traditional computers in many areas of science, including chemistry, physics, and cryptography, but proving they will be superior has been challenging. The most well-known problem in which quantum computers are expected to have the edge, a trait physicists call “quantum advantage,” involves factoring large numbers, a hard math problem that lies at the root of securing digital information.
In 1994, Caltech alumnus Peter Shor (BS ‘81), then at Bell Labs, developed a quantum algorithm that would easily factor a large number in just seconds, whereas this type of problem could take a classical computer millions of years. Ultimately, when quantum computers are ready and working—a goal that researchers say may still be a decade or more away—these machines will be able to quickly factor large numbers behind cryptography schemes.
But, besides Shor’s algorithm, researchers have had a hard time coming up with problems where quantum computers will have a proven advantage. Now, reporting in a recent Nature Physics study titled “Local minima in quantum systems,” a Caltech-led team of researchers has identified a common physics problem that these futuristic machines would excel at solving. The problem has to do with simulating how materials cool down to their lowest-energy states.
A human ascending somatosensory assembloid model was developed, which integrates multiple organoids to simulate the spinothalamic pathway, demonstrating functional connectivity and responsiveness to stimuli and revealing insights into pain-related genetic mutations.
