Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

From interactive simulations to adaptive AI tools, technology is changing how students engage with physics. Educators are blending traditional methods with innovations that personalize learning and ...

Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate complex quantum systems. Community- ...

The AI Physics breakthrough will expedite product development and support advanced space missions and robotics BOSTON, April 21, 2026 /PRNewswire/ -- Flexcompute, the physics company, and Northrop ...

Understanding the universe as a whole requires simulations on cosmic scales. An international team of astrophysicists, with a ...

New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

AI excels at correlations but lacks physical intuition, creating gaps in real-world reasoning and reliability.

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...