Tiny grains of dust floating inside a glowing plasma should, according to decades of theory, push and pull on each other in ...

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 observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...

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 ...

Recent advances in AI are transforming both classroom learning and physics research, from Microsoft Copilot’s new document-editing abilities to AI tutors that personalize instruction. In physics ...

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 ...

Experts see peer recognition as important to student success in physics, and a new study gives college-level physics instructors insight into how students perceive the message from their classmates ...

Diving straight into the foundational courses at Tufts can seem very daunting as a first-year engineering student. Between ...

Imagine trying to prove that 1+1=2, but when you do the calculations, it turns out that the result is off by 0.1%. That scenario is similar to the riddle that’s facing physicists worldwide as they try ...