Hanan Kalaz

Scientists switch on the world’s largest neutrino detector deep underground

Deep beneath southern China, JUNO has launched one of the most ambitious neutrino experiments in history. With its massive 20,000-ton liquid scintillator detector now operational, it’s poised to answer one of particle physics’ greatest mysteries: the true ordering of neutrino masses. Built over more than a decade and involving hundreds of scientists worldwide, JUNO not

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The Sun’s smallest loops ever seen in stunning new images

Astronomers using the Inouye Solar Telescope have captured the sharpest-ever images of a solar flare, revealing coronal loops as thin as 21 km wide. These threadlike plasma structures, imaged during an X1.3-class flare, confirm long-standing theories about loop scales and may represent the fundamental building blocks of flare activity. The discovery pushes solar science into

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The Higgs boson just revealed a new secret at the Large Hadron Collider

Scientists at CERN’s ATLAS experiment have uncovered compelling evidence of Higgs bosons decaying into muons, an incredibly rare event that could deepen our understanding of how particles acquire mass. They also sharpened their ability to detect the even rarer Higgs decay into a Z boson and a photon—a process that might reveal hidden physics beyond

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Google’s quantum computer just simulated the hidden strings of the Universe

Scientists using Google’s quantum processor have taken a major step toward unraveling the deepest mysteries of the universe. By simulating fundamental interactions described by gauge theories, the team showed how particles and the invisible “strings” connecting them behave, fluctuate, and even break. This breakthrough opens the door to probing particle physics, exotic quantum materials, and

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Scientists turn spin loss into energy, unlocking ultra-low-power AI chips

Scientists have discovered that electron spin loss, long considered waste, can instead drive magnetization switching in spintronic devices, boosting efficiency by up to three times. The scalable, semiconductor-friendly method could accelerate the development of ultra-low-power AI chips and memory technologies.

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