Category Physics

Radiowave bursts linked to onset of intense auroral storms

Earth seen from space with a green auroral display blanketing the sky above the planet.
Auroral beads seen from the International Space Station. Credit: NASA

A University of Southampton study has revealed an intriguing new clue in the mystery of what triggers periods of very intense, brightly colored activity during displays of both the southern and northern lights.

Known as a “magnetospheric substorm,” this awe-inspiring phenomenon, which blankets the night sky in green and purple, is almost always preceded by what space scientists call “auroral beads”—a necklace-like wave of multiple luminous points of light which eventually evolve into the storm.

Southampton scientists have now shown there is a link between these auroral beads and the intensity of low frequency radio waves above the aurora in Earth’s magnetosphere—a vast area around our planet that is dominated...

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Magnetic fields power smarter soft robots with built-in intelligence

Magnetic fields power smarter soft robots with built-in intelligence

Soft robots are prized for their agility and gentle touch, which makes them ideal for traversing delicate or enclosed spaces to perform various tasks, from cultivating baby corals in laboratories to inspecting industrial pipes in chemical plants. However, achieving embodied intelligence in such systems, where sensing, movement and power supply work together in an untethered configuration, remains a challenge.

Flexible materials can deform and adapt, but their power sources are unable to do so. Conventional batteries often stiffen the robot’s body, drain quickly, or degrade under strain, all of which leave soft robots tethered or with a short lifespan.

Assistant Professor Wu Changsheng and his team from the Department of Materials Science and Engineering and the Department of Ele...

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Adaptive method helps light-based quantum processors act more like neural networks

A step toward practical photonic quantum neural networks
A new approach to photonic neural networks incorporates adaptive photon injection during the pooling stage. Credit: L. Monbroussou et al., doi 10.1117/1.AP.7.6.066012

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural network (QCNN)—could process information more efficiently by using quantum states instead of classical bits.

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible operations that neural networks need.

Adaptive state injection in photonic QCNNs
In a study published in Advanced Photonic...

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Moisture-driven power generator delivers stable electricity even in dry air conditions

Mechanical engineering research team develops innovative moisture-driven power generator
Credit: Advanced Functional Materials (2025). DOI: 10.1002/adfm.202419710

As artificial intelligence (AI) and smart gadgets become more common, our need for reliable power sources grows. Renewable energy options like solar and wind are great, but they depend on specific conditions. A research team led by Professor Dong-Myeong Shin from the Department of Mechanical Engineering at the University of Hong Kong (HKU) has developed a novel moisture-activated electricity generator (MEG) that offers a fresh, eco-friendly way to generate electricity—just from moisture in the air.

Their findings have been published in the journal Advanced Functional Materials in an article titled “Long-Lasting Moisture Energy Scavenging in Dry Ambient Air Empowered by a Salt Concentration-Gradient Cationi...

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