Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write ...

In The Physics Teacher, researchers explore the goal of culturally relevant pedagogy, which is to center students' cultural resources as a bridge to learning. It relies on a framework of academic ...

Physics may not be something that we knowingly talk about on an everyday basis, but we talk and think about physics so much more than we know. After all, physics seems accessible to all but that ...

In his years as a physics teacher, students often asked Mark Whalley why they had to learn the subject when most of them would never directly use it in their careers. Having never been satisfied with ...

Clausell Mathis receives funding from U.S. Department of Education as a Co-PI on the Education Innovation and Research Grant program. . America has a physics problem. Research shows that access to ...

The laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detect features in curved and higher-dimensional space. Computers can now drive cars, beat world ...

Trying to choose between an M.Sc in Physics or Applied Physics? Learn the simple differences between studying the laws of ...

image of Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Credit: ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...