Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down ...
Important instruments for neuroscience and medical diagnostics, optically pumped magnetometers measure responses of polarized atoms to produce information about the low-frequency external field. They ...
In this tutorial, I walk you through solving boundary value problems using the Shooting Method in Python. Learn how to apply this numerical technique to find solutions for differential equations with ...
Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
Abstract: Solving Maxwell's equations is crucial in various fields, like electromagnetic scattering and antenna design optimization. Physics-informed neural networks (PINNs) have shown powerful ...
This repository contains all the supplementary material associated to the paper with title "Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems". Please check out ...