Astronomers may have found an exciting new clue about dark energy—the mysterious force driving the universe’s accelerating expansion. They discovered an extraordinarily bright supernova from more than 10 billion years ago whose light was bent and magnified by a foreground galaxy, creating multiple images through gravitational lensing. Because the light from each image traveled slightly different paths, it arrived at Earth at different times, letting scientists effectively watch different moments of the same cosmic explosion simultaneously.

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Scientists studying a mysterious effect called cosmic birefringence—a subtle twist in the polarization of the universe’s oldest light—have developed a new way to reduce uncertainty in how it’s measured. This faint rotation in the cosmic microwave background could point to entirely new physics, including hidden particles such as axions and clues about dark matter or dark energy.

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Physicists at UC Santa Barbara have uncovered a new way to manipulate unusual magnetic states by exploiting “frustration” inside a crystal’s atomic structure. The team discovered a rare system where two different kinds of frustration—magnetic and electronic bond frustration—coexist and interact. By coupling these competing effects, researchers may be able to control exotic quantum states, potentially unlocking new ways to manipulate entangled spins for future quantum technologies.

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Scientists have developed a powerful new computational method that could accelerate the search for next-generation materials capable of turning sunlight into useful chemical energy. The work focuses on polyheptazine imides, a promising class of carbon nitride materials that absorb visible light and can drive reactions such as hydrogen production, carbon dioxide conversion, and hydrogen peroxide synthesis. By analyzing how 53 different metal ions influence the structure and electronic behavior of these materials, researchers created a framework that predicts which combinations will perform best.

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A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.

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New research suggests Mars may have remained habitable much longer than scientists once thought. Ancient sand dunes in Gale Crater appear to have been soaked by underground water billions of years ago, leaving behind minerals that can preserve signs of life. Even after surface water disappeared, subsurface flows may have created protected environments for microbes. These hidden habitats could be key targets in the ongoing search for past life on Mars.

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Mars didn’t always look like the barren world we see today. Over billions of years, the Sun’s solar wind stripped away much of its atmosphere, helping transform it from a warmer, wetter planet into a frozen desert. NASA’s twin-spacecraft ESCAPADE mission aims to watch this process in action by measuring how the solar wind interacts with Mars’ fragile magnetic environment. The findings could reveal how Mars lost its habitability—and help prepare humans for future missions there.

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