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science/physics

Unexpected Hall Effect Discovery Challenges Century-Old Physics Assumption

A team of scientists at Carnegie Mellon University has demonstrated that the Hall effect, one of the fundamental phenomena in condensed matter physics, can manifest in an unexpected configuration that had long been considered impossible. The Hall effect, first described by Edwin Hall in 1879, occurs when an electric current

Technology News

Scientists Have Found the Most Convincing Evidence Yet of a Dark Matter Particle

Dark matter remains one of the most tantalizing mysteries in modern physics. Although it is estimated to make up roughly 27% of the universe's mass-energy content, it has never been directly observed—only inferred through its gravitational effects on visible matter, radiation, and the large-scale structure of the

MIT Researchers Develop New Qubit Architecture for Faster, More Accurate Quantum Operations

Building scalable quantum computers has proven difficult largely because quantum systems are highly sensitive to errors and noise. Operations that are too slow or imprecise cause these errors to compound, making reliable computation difficult at larger scales. A research team at MIT has developed a new qubit architecture that aims

LZ Dark Matter Experiment Reports Unexpected Finding

The LZ collaboration has announced an unexpected finding from its detector located deep underground at the Sanford Underground Research Facility in South Dakota. The experiment, which uses a tank containing 10 tonnes of liquid xenon to detect rare collisions between dark matter particles and ordinary atoms, observed a signal that

LUX-ZEPLIN Detector Reports Cautious Hints of Dark Matter Interaction

Scientists working with the LUX-ZEPLIN (LZ) detector, buried deep underground in South Dakota, have announced results that could hint at dark matter interactions—but the team is urging careful optimism. The LZ detector uses a tank containing 10 tonnes of liquid xenon to catch potential signals from dark matter particles

Tulane Researchers Turn AI Toward Superconductor Discovery

Researchers at Tulane University are applying machine learning and AI tools to identify potential new superconducting materials, marking another instance of AI being deployed to accelerate materials science research. Superconductors—materials that can conduct electricity with zero resistance when cooled to extremely low temperatures—have significant applications in computing, medical

Dark Matter Hunters Report First Potential Signal from LZ Experiment

For decades, dark matter has remained one of the universe's most elusive mysteries — invisible material that accounts for roughly 27% of the cosmos yet has never been directly observed. Now, scientists working with the LUX-ZEPLIN (LZ) experiment, located a mile underground in the Sanford Underground Research Facility in