Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

An advanced AI system has solved a decade-old theoretical physics puzzle, proposing a new formula for gluon interactions. The AI, GPT-5.2 Pro, spent 12 hours developing a mathematical proof, revealing ...

As a physics major, it feels like I spend the majority of my waking life solving problems. I’ve calculated the amount of water you get from mixing different ratios of steam and ice, the path of ...

Explore the Ball Up/Down Problem from the Feynman Lectures in this clear and engaging physics lesson! This video explains the underlying principles of motion, forces, and energy transfer step by step, ...

John Hopfield, one of this year’s winners of the Nobel Prize in Physics, is a true polymath. His career started with probing the physics of solid states during the field’s heyday in the 1950s before ...

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Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems.

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...