Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially ...

In a paper published in Nature Physics, the Caltech team uses its new method to precisely compute the strength of ...

N thin films with record-high scandium levels, with exciting potential for ultra-low-power memory devices, as reported by ...

Throughout cosmic evolution, although dwarf galaxies are individually small, they are numerous and serve as the fundamental ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Researchers have found the first new type of magnet in nearly a century. Now, these strange "altermagnets" could help us ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with stunning accuracy.

New techniques and refinements of older ones are needed to reach <1 K for quantum-computing cooling.

For decades, scientists have hunted for materials that defy conventional ideas of magnetism. Most magnetic materials, like the ones found in fridge magnets, behave in predictable ways. Their atomic ...

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April 17, 2025: OpenAI has released o3 and 04-mini, two reasoning AI models designed to be extra good at programming, math, ...