Can electricity rewrite topological spins on a 2D stage?

The world of magnetic textures has long lived in the cloudy border between physics and engineering, where tiny whirlwinds of magnetization—skyrmions—and their in-plane cousins, bimerons, hold promise as ultra-dense, energy-efficient information carriers. These aren’t just curiosities from a chalk-dusted lab: they’re potential building blocks for future memories and processors that sip power instead of gulping…

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What Are Magnetic Stars Quietly Doing to the Cosmos?

Highlights of a Hidden Force Highlights: Magnetic fields thread stars as quietly as gravity threads planets, yet they sculpt their winds, pulsations, and destinies. A small, stubborn fraction of massive stars carry fossil magnetic fields at their surfaces, unlike the sun’s dynamo-generated magnetism. By watching how light splits, polarizes, and shifts as stars spin, scientists…

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When AI Cracks Quantum Chemistry’s Hardest Code

Cracking the Quantum Code with Neural Networks Quantum chemistry is the secret language of molecules, atoms, and electrons—a language written in the complex equations of quantum mechanics. At its heart lies the many-electron Schrödinger equation, a mathematical beast that describes how electrons dance around nuclei, shaping the properties of matter. Solving this equation exactly for…

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When Fluids Decide to Split and Diffuse

In a laboratory in Beijing and another in Shenzhen, a team of mathematicians and physicists set out to choreograph a very stubborn waltz: how a compressible, heat-bearing fluid with two immiscible phases can phase-separate, form diffusion interfaces, and evolve over time without spiraling into chaos. Their instrument of choice wasn’t a telescope or a centrifuge…

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A memory trick for faster graph neural nets?

The world of graph neural networks (GNNs) has become a playground for machines that learn from relationships—the way friends influence each other, the way molecules connect, the way papers cite one another. But teaching a machine to aggregate all those neighborhood signals is not just a math problem; it’s a memory problem. Training GNNs requires…

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Two-Graph Insplitting Reveals Hidden Conjugacy in 2D Shifts

Two-dimensional shifts of finite type are like sprawling mosaics where each tile carries a rule about its neighbors. The math of these systems is famously slippery: local constraints produce global patterns, and two seemingly different viewpoints can describe the same dynamical universe in surprising ways. In a bold, multi-institution collaboration, Samantha Brooker, Priyanga Ganesan, Elizabeth…

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AI Predicts the Best Quantum Computer for Your Problem

The Quantum Hardware Conundrum Imagine a future where quantum computers are as commonplace as smartphones, readily solving problems currently beyond the reach of classical computing. But a major hurdle remains: selecting the right quantum computer for a given task. Quantum hardware isn’t monolithic; different technologies—like superconducting qubits and trapped ions—each have unique strengths and weaknesses….

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Heat Waves in the Age of AI Weather Forecasts

Extreme heat is not just a meteorology problem; it’s a public health deadline. When thermometers surge, people suffer—especially the most vulnerable in cities with aging power grids, crowded housing, or limited access to cooling. As climate change nudges heat waves toward longer durations and higher peaks, forecasts become lifelines: they guide hospital preparations, energy management,…

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