Such projects are often fun for students and teachers. Teachers are often intrigued and amazed by students’ ideas and ...

The University of Wisconsin Nuclear Reactor is a research reactor housed in UW’s Mechanical Engineering Building. The one-megawatt reactor does not actually produce electricity and is only around ...

When students move from university course work to real-world applications like internships, practicums or clinical placements ...

From levitating globes to mini plasma balls, these science toys and gadgets turn complex principles into hands-on fun. Each item blends education and entertainment, sparking curiosity about physics, ...

STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning. "This year's two Nobel ...

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 ...

John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...

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 ...

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.

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 ...

A new University of Phoenix survey conducted by The Harris Poll finds that while 90% of U.S. workers are actively learning or ...