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Category: transportation – Page 10

Demand for lithium is rising due to its use in batteries for mobile devices, cars and clean energy storage. Securing access to natural deposits of the mineral is now a matter of strategic importance, but lithium can be found elsewhere in nature.

As an alternative to mining, Imperial researchers have created a technology that could be used to efficiently extract it from saltwater sources such as salt-lake brines or geothermal brine solutions.

Conventional extraction from brines takes months and uses significant amounts of water and chemicals, generating greenhouse gas emissions in the process. The alternative developed by Dr. Qilei Song and his team in the Department of Chemical Engineering uses a membrane that separates lithium from by filtering it through tiny pores.

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Nickel’s role in the future of electric vehicle batteries is clear: It’s more abundant and easier to obtain than widely used cobalt, and its higher energy density means longer driving distances between charges.

However, nickel is less stable than other materials with respect to cycle life, , and safety. Researchers from the University of Texas at Austin and Argonne National Laboratory aim to change that with a new study that dives deeply into nickel-based cathodes, one of the two electrodes that facilitate in batteries.

“High-nickel cathodes have the potential to revolutionize the EV market by providing longer driving ranges,” said Arumugam Manthiram, a professor at the Walker Department of Mechanical Engineering and Texas Materials Institute and one of the leaders of the study published in Nature Energy.

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Like engineers who design high-performance Formula One race cars, scientists want to create high-performance plasmas in twisty fusion systems known as stellarators. Achieving this performance means that the plasma must retain much of its heat and stay within its confining magnetic fields.

To ease the creation of these plasmas, physicists have created a new computer code that could speed up the design of the complicated magnets that shape the plasma, making stellarators simpler and more affordable to build.

Known as QUADCOIL, the code helps scientists rule out plasma shapes that are stable but require magnets with overly complicated shapes. With this information, scientists can instead devote their efforts to designing stellarators that can be built affordably.

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This is some wild stuff o.o. As much is unknown about this universe I still think this phenomenon is more exterrestial possibly even from the grand architect like god or some alien species that is either moving a black hole spaceship or some sorta wormhole expansion for alien transportation or could be even god due its nature as his vehicle the Ezekiel wheel was spotted near Venus in 2020. Still is an unknown threat whether it is an actual threat is still unknown. If it is a threat theoretically we could evaporate the black hole though but this would require large amounts of energy maybe even Higgs bosons somehow.

A fluffy cluster of stars spilling across the sky may have a secret hidden in its heart: a swarm of over 100 stellar-mass black holes.

The star cluster in question is called Palomar 5. It’s a stellar stream that stretches out across 30,000 light-years, and is located around 80,000 light-years away.

Such globular clusters are often considered ‘fossils’ of the early Universe. They’re very dense and spherical, typically containing roughly 100,000 to 1 million very old stars; some, like NGC 6397, are nearly as old as the Universe itself.

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Chinese firm Xpeng announced its plans to mass-produce flying cars and humanoid robots by next year.

He Xiaopeng, XPeng Motors’ chairman and CEO, stated that if the project remains on track, XPeng could be the first company to mass-produce flying cars globally, reports a Chinese online daily.

The company’s Iron humanoid robot is now in use at the EV maker’s Guangzhou factory, and it plans to start mass-production. By 2026, humanoid robots with entry-level Level 3 capabilities in the country are expected to enter moderate-scale commercial production, Xiapeng added.

Chinese EV maker XPeng aims to mass-produce flying cars and humanoid robots, with Level 3 robots set for commercial production by 2026.

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🤔 Alef Aeronautics’ drivable flying car takes its maiden flight in a city field. The development team has introduced the Alef Model A, the dubbed production version of the drivable flying car that has vertical take-off and landing capabilities. On February 19th, 2025, its test model takes off, even flying over another vehicle. In a LinkedIn post, Alef Aeronautics CEO Jim Dukhovny writes that the video showcasing the flight is ‘the first documented, verifiable flight of a flying car (an actual car, with vertical takeoff, non-tethered).’

*This is an old, but new post. Some people have posted about the same car years ago.

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Engineers examined communications, navigation, and landing gear operations, even testing compatibility with an F-15D. This milestone clears the way for more rigorous ground trials before the aircraft’s first flight.

X-59’s Electromagnetic Testing Success

NASA’s X-59, a quiet supersonic research aircraft, has successfully passed electromagnetic testing, ensuring that its systems can function safely without interference in various conditions.

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NASA’s X-59 has cleared another hurdle with the successful completion of critical engine tests. The trials confirmed that its F414-GE-100 engine, adapted from the F-18 Super Hornet, performs as expected at full power. The aircraft’s design, including its unique top-mounted engine and elongated nose, aims to soften sonic booms to a mere “thump.” As NASA prepares for the first flight, additional tests will ensure the aircraft is ready for safe operation.

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NVIDIA may have just revolutionized computing forever with the launch of DIGITS, the world’s first personal AI supercomputer. By harnessing the power of GPU-accelerated deep learning—the same technology that drives top-tier high-performance computing (HPC) clusters—DIGITS shrinks massive supercomputing capabilities into a desktop-friendly system.

This compact yet powerful platform enables data scientists, researchers, and developers to rapidly train, test, and refine complex neural networks using NVIDIA’s state-of-the-art GPUs and software ecosystem. Built for deep learning, machine learning, and big data analytics, DIGITS seamlessly integrates tensor cores, parallel processing, and accelerated computing into a single, plug-and-play solution.

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