Supercomputer simulations explain formation of cosmic magnetic fields

Researchers at the University of Wisconsin-Madison have used advanced plasma simulations to show how large-scale magnetic fields arise from turbulent flows in space. The findings were published in the journal Nature. They offer a new explanation for ordered magnetic structures observed across the universe.

The study was led by Bindesh Tripathi, a former University of Wisconsin-Madison physics graduate student now at Columbia University, with senior author Paul Terry, a physics professor at UW-Madison. The team ran roughly 90 simulations on Purdue University's Anvil supercomputer, using 137 billion grid points in three-dimensional space. This produced 0.25 petabytes of data and required nearly 100 million CPU hours.

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New supercomputer models indicate that magnetic fields enable two protostars to form a close binary system by removing angular momentum from the surrounding gas.

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Scientists at California Polytechnic State University have discovered new forms of quantum matter by varying magnetic fields over time. The breakthrough, detailed in Physical Review B, shows that time-dependent control can produce stable quantum states without static equivalents. This could advance quantum computing by making systems more resistant to errors.

Researchers at Nanyang Technological University in Singapore have generated optical skyrmions using a 200-year-old optics experiment. The approach replaces complex materials with a basic laser and circular disc setup.

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Researchers at KAIST have directly observed how charge density waves form uneven, patchy patterns inside a quantum material during a phase transition. Using advanced 4D-STEM microscopy, the team mapped the strength and coherence of these electron patterns at nanoscale resolution. The findings reveal that electronic order persists in small pockets even above the transition temperature.

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