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

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, ...

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 ...

Advances in machine learning (ML) and deep learning (DL) are undoubtedly enabling significant breakthroughs in all areas of science and technology. ML/DL models, however, do not necessarily obey 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 ...

(Left to right) Tyler High School science instructors: Darnisha Lary, Master Teacher of Science; Hannah Nandamudu, Science Teacher; David Harris, Science Teacher; and Eric Sukiennik, Science ...

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 ...

Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot be represented in detail ...

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 ...