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Category: supercomputing
Scientists used 7,000 GPUs to simulate a tiny quantum chip in extreme detail
Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and interact inside an ultra-tiny chip. Unlike earlier “black box” approaches, this method captures real materials, layouts, and qubit behavior. The result is a powerful new way to spot problems early and build better quantum hardware faster.
THOR AI solves a 100-year-old physics problem in seconds
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.
World’s most advanced supercomputers decode nuclear reactor turbulence
At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, proving that the secret to a safer carbon-free future lies in mastering the math of chaos.
Researchers are advancing nuclear safety by using high-performance computing to model turbulent flow — the chaotic movement of fluids and gases that governs heat transfer and gas mixing within a reactor.
We Might Be Wrong About the Big Bang
Astrophysicist Katy Clough uses supercomputers to simulate conditions at the start of the universe and other strong gravity regimes, such as around black holes, testing the limits of general relativity and the standard model of particle physics. Known as numerical relativity, these models are \.
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First 3D reconstruction of the face of ‘Little Foot’ completed
Identified as the most complete Australopithecus fossil discovered to date, “Little Foot” was buried in sediments whose movement and weight caused fractures and deformations, making analysis of its skull—and more particularly its face—difficult. This anatomical region, which is essential for understanding the adaptations of our ancestors and relatives to their environment, has now been virtually reconstructed for the first time by a CNRS researcher and her British and South African colleagues. These are published in Comptes Rendus Palevol.
A comparative analysis of this reconstruction with several extant great apes and three other Australopithecus specimens reveals that the face of “Little Foot” is closer in terms of size and morphology to Australopithecus specimens from eastern Africa than to those from southern Africa. This finding raises questions about the relationships between these different populations and about the chronology of the evolutionary processes that reshaped the faces of these hominins, particularly the orbital region, which appears to have been subject to strong selective pressures.
The skull was first transported to the Diamond Light Source synchrotron (United Kingdom), where it was carefully digitized. The research team then virtually isolated the bone fragments using semi-automated methods and supercomputers. Their realignment resulted in a 3D reconstruction with a resolution of 21 microns. More than five years were required to complete this reconstruction.
7,000 GPUs Simulate Quantum Microchip in Unprecedented Detail
Using the Perlmutter supercomputer, researchers achieved a record-scale simulation of a quantum microchip to refine and validate next-generation quantum hardware designs. Researchers from Lawrence Berkeley National Laboratory (Berkeley Lab) and the University of California, Berkeley have complete
Supercomputer simulations reveal rotation drives chemical mixing in red giant stars
Advances in supercomputing have made solving a long‐standing astronomical conundrum possible: How can we explain the changes in the chemical composition at the surface of red giant stars as they evolve?
For decades, researchers have been unsure exactly how the changing chemical composition at the center of a red giant star, caused by nuclear burning, connects to changes in composition at the surface. A stable layer acts as a barrier between the star’s interior and the outer connective envelope, and how elements cross that layer remained a mystery.
In a Nature Astronomy paper, researchers at the University of Victoria’s (UVic) Astronomy Research Center (ARC) and the University of Minnesota solved the problem.