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A pioneering team at the University of Maryland has captured the first-ever images of atomic thermal vibrations, unlocking an unseen world of motion within two-dimensional materials. Their innovative electron ptychography technique revealed elusive “moiré phasons,” a long-theorized phenomenon that governs heat, electronic behavior, and structural order at the atomic level. This discovery not only confirms decades-old theories but also provides a new lens for building the future of quantum computing, ultra-efficient electronics, and advanced nanosensors.

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Imagine concrete that not only survives wildfires and extreme weather, but heals itself and absorbs carbon from the air. Scientists at USC have created an AI model called Allegro-FM that simulates billions of atoms at once, helping design futuristic materials like carbon-neutral concrete. This tech could transform cities by reducing emissions, extending building lifespans, and mimicking the ancient durability of Roman concrete—all thanks to a massive leap in AI-driven atomic modeling.

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Scientists have used DNA’s self-assembling properties to engineer intricate moiré superlattices at the nanometer scale—structures that twist and layer like never before. With clever molecular “blueprints,” they’ve created customizable lattices featuring patterns such as honeycombs and squares, all with remarkable precision. These new architectures are more than just scientific art—they open doors to revolutionizing how we control light, sound, electrons, and even spin in next-gen materials.

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Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of electron flow in tricky materials.

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