Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, ...

Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The ...

The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...

A new study in Science Advances finds that physics-based weather models outperform leading AI systems when predicting record-breaking extreme weather events. While AI models like GraphCast and ...

Scientists working at CERN’s Large Hadron Collider may be seeing the strongest hints yet of physics beyond the Standard Model — the decades-old theory that explains the fundamental particles and ...

For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...

To keep pace with modern design cycles and more complex hardware, the role of physics in the workflow must change.