When one thinks of astronomy, it’s easy to imagine equations on a chalkboard, late nights in physics labs or telescopes aimed skyward by science majors. But for Traverse City junior and Astronomy Club ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed an AI framework that tackles one of physics’ most complex computational challenges. Credit: Stock An AI ...

The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...

In January I wrote a piece titled “5 Physics Equations Everyone Should Know.” Lots of you weighed in with your own nominations, and there were plenty of good suggestions. So I’ve decided to do a ...

Nonlinear problems, originating from applied science that is closely related to practices, contain rich and extensive content. It makes the corresponding nonlinear models also complex and diverse. Due ...

The internet is full of people claiming to uncover conspiracies in politics and business. During the pandemic, public health experts and pharmaceutical companies became popular targets. Now an ...

Abstract: Seismic inversion is a significant tool for exploring the structure and characteristics of the underground. However, the conventional inversion strategy strongly depends on the initial model ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Quantum physics isn’t just complicated – after 100 years, there is an awful lot of it to understand. This makes writing an accessible yet comprehensive book about the topic a challenge in both ...