The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

The discovery of gravitational waves in 2015 marked a turning point in our understanding of the universe. But detecting these faint signals was only the beginning. The real challenge lies in ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Physicists are no longer content to simply listen to ripples in spacetime. A new proposal sketches out how an exquisitely ...

Breaking waves shape our coastlines, sink cruise ships and fishing vessels and play a crucial role in climate systems. Yet, despite decades of research, scientists have struggled to fully explain why ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

Tiny waves, big implications: Electron microscope image of the superfluid wave tank used in the experiments (blue) coupled to an optical fibre which brings laser light in and out of the device. The ...

Researchers have achieved a breakthrough in solar physics by providing the first direct evidence of small-scale torsional Alfvén waves in the sun's corona—elusive magnetic waves that scientists have ...

I'll admit it, I'm a math guy. And recently, I've tried to express the emerging power of large language models (LLMs) in many aspects of life—including education. And it got me thinking: What if ...