Physicists have long struggled to unite quantum mechanics—the theory governing tiny particles—with Einstein’s theory of gravity, which explains the behavior of stars, planets, and the structure of the universe. Researchers at TU Wien have now taken a new step toward that goal by rethinking one of relativity’s core ideas: the paths particles follow through curved spacetime, known as geodesics. By creating a quantum version of these paths—called the q-desic equation—the team showed that particles moving through a “quantum” spacetime may deviate slightly from the paths predicted by classical relativity.

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Engineers have discovered an unexpected link between two very different realms of physics: the behavior of electrons in graphene and magnetic waves in specially engineered materials. By designing a thin magnetic film with a hexagonal pattern of holes—similar to graphene’s structure—the researchers showed that magnetic “spin waves” can follow the same mathematical rules as graphene’s famously unusual electrons. The surprising overlap reveals a deeper connection between electronic and magnetic systems and gives scientists a powerful new way to study complex magnetic materials.

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Asteroids with tiny moons may be quietly trading material across space. Images from NASA’s DART mission revealed faint streaks on the moon Dimorphos—evidence of slow “cosmic snowballs” drifting from its parent asteroid, Didymos. The discovery provides the first direct visual proof that sunlight can spin asteroids fast enough to shed debris that lands on nearby companions. It also shows that near-Earth asteroids are much more active and constantly reshaped than scientists once believed.

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Solid-state batteries could be safer and more energy-dense than today’s lithium-ion technology, but finding materials that allow ions to move quickly through solid electrolytes has been difficult. Researchers developed a machine learning pipeline that predicts Raman spectra and identifies a distinctive low-frequency signal linked to liquid-like ion motion inside crystals. This signal appears when rapid ion movement temporarily disrupts a crystal’s symmetry. The approach could dramatically speed up the discovery of superionic materials for advanced batteries.

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Gravity may seem constant, but it actually varies across the planet—and one of the strangest places is Antarctica, where gravity is slightly weaker than expected. Scientists have traced this “gravity hole” to slow, deep movements of rock inside Earth that unfolded over tens of millions of years. Using earthquake data to essentially create a CT scan of the planet’s interior, researchers reconstructed how the anomaly evolved and discovered that it strengthened between about 50 and 30 million years ago.

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Researchers at Cornell University have developed a powerful imaging technique that reveals atomic scale defects inside computer chips for the first time. Using an advanced electron microscopy method, the team mapped the exact positions of atoms inside tiny transistor structures and uncovered small imperfections nicknamed “mouse bites.” These defects form during the complex manufacturing process and can disrupt how electrons flow through a chip’s channels, which are only about 15 to 18 atoms wide.

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Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.

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