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Scientists at the Princeton Plasma Physics Laboratory are pioneering the use of liquid lithium in spherical tokamaks to enhance fusion performance.

Recent computer simulations suggest the optimal placement of lithium vapor to protect the tokamak’s interior from intense plasma heat. Innovative configurations, such as the lithium “cave” and porous plasma-facing walls, aim to simplify the design and improve heat dissipation, contributing to the future of fusion energy.

Inside the next generation of fusion vessels known as spherical tokamaks, scientists at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) envisioned a hot region with flowing liquid metal that is reminiscent of a subterranean cave. Researchers say evaporating liquid metal could protect the inside of the tokamak from the intense heat of the plasma. It’s an idea that dates back several decades and is tied to one of the Lab’s strengths: working with liquid metals.

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In a paper published recently in the Journal of Applied Physics, an international team of scientists from Lawrence Livermore National Laboratory (LLNL), Argonne National Laboratory and Deutsches Elektronen-Synchrotron have developed a new sample configuration that improves the reliability of equation of state measurements in a pressure regime not previously achievable in the diamond anvil cell.

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Optical fiber, as a physical medium for information transmission, is the “highway” of modern economic and social development. However, with the continuous emergence of high-speed and high-capacity communication scenarios such as virtual reality, 5G, intelligent driving, and the Internet of Things (IoT), there is an upper limit to the communication capacity (traffic flow) of the traditional single-mode fiber-optic communication system (highway).

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A team of researchers has developed a novel computational imaging system designed to address the challenges of real-time monitoring in ultrafast laser material processing. The new system, known as Dual-Path Snapshot Compressive Microscopy (DP-SCM), represents a significant advancement in the field, offering unprecedented capabilities for high-speed, high-resolution imaging. The team was led by Yuan Xin from Westlake University and Shi Liping from Xidian University.

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Magnetic field sensing plays a pivotal role in numerous fields of medical, transportation and aerospace. The optical fiber-based magnetic field sensor possesses outstanding characteristics of compactness, long-distance interrogation, low cost and high sensitivity, which has attracted intensive interest. However, the fiber-based magnetic field sensor is generally affected by the temperature perturbation.

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The summer holidays are ending, which for many concludes with a long drive home and reliance on GPS devices to get safely home. But every now and then, GPS devices can suggest strange directions or get briefly confused about your location. But until now, no one knew for sure when the satellites were in a good enough position for the GPS system to give reliable direction.

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A multi-university research team co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy.

Their findings suggest that doctors may one day see, classify and treat autism and related neurological conditions with this method, without having to rely on or wait for behavioral cues. And that means this truly personalized medicine could result in earlier interventions.

“Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism,” the researchers wrote in a paper published in the journal Science Advances.

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