A beginner-friendly introduction to numerical calculations in physics using Python. Learn how to solve problems efficiently ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. 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 ...

Comprehensive computational framework for REBCO HTS coils and plasma physics applications. Features validated 7.07T superconducting magnet designs, Lentz soliton simulation with interferometric ...

Developing a unified theory for liquid behaviour has long been a challenge due to the complex interactions between particles and the constantly changing dynamic disorder within liquids. Current ...

At the turn of the 20th century, the renowned mathematician David Hilbert had a grand ambition to bring a more rigorous, mathematical way of thinking into the world of physics. At the time, physicists ...

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 ...

When the greatest mathematician alive unveils a vision for the next century of research, the math world takes note. That’s exactly what happened in 1900 at the International Congress of Mathematicians ...

We preselected all newsletters you had before unsubscribing.