Master vector derivatives in polar coordinates with this clear physics tutorial! Learn step-by-step how to compute derivatives, understand radial and angular components, and apply them to mechanics ...

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 been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...

Euny Hong is the former supervising editor at Investopedia.com. She is also the author of two critically-acclaimed, published books. Dr. JeFreda R. Brown is a financial consultant, Certified Financial ...

Abstract: Ising machines have recently attracted attention as a new computational method for efficiently solving combinatorial optimization problems. NEC Vector Annealing (VA), working on vector ...

Teach electromagnetism with this simple electromagnetic train project. A simple STEM activity connecting electricity, ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. These ...

This repository implements advanced physics-driven deep learning frameworks for solving partial differential equations (PDEs) and related inverse problems. These methods leverage deep neural networks ...