Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...

1 School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China 2 The Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), China 3 The Guangdong Provincial Key ...

Abstract: Physics-informed neural networks (PINNs) have been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...

Understand vector addition through real physics problem examples. This video explains how vectors combine using clear diagrams and practical applications, making the concept easy to follow for ...

Abstract: Physics-informed neural networks (PINNs) have shown their potential for solving direct problems in many engineering domains including electromagnetics. We employ fully connected and ...

The vision of human-level machine intelligence laid out by Alan Turing in the 1950s is now a reality. Eyes unclouded by dread or hype will help us to prepare for what comes next.

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

You already know it’s best to lay off high-salt foods like movie-theater popcorn and french fries, but you also need to be on the lookout for less obvious foods that are loaded with sodium.