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 ...
All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the ...
From a technical point of view, the internal structure of the library is pretty cool -- all kinds of equations (ODEs, SDEs, CDEs) are solved in a unified way (rather than being treated separately), ...
In this video, we explain the capstan equation and how friction affects a rope or string wrapped around a surface. You’ll learn where the equation comes from, what each term means, and how it’s ...
A lightweight but strong synthetic fibre that is used in the construction of Formula 1 cars. A term used to describe one or ...
Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This article draws on several (of many) resources which cover policy and ...
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High-scoring JEE Main topics: Physics formulas, chemistry concepts, and maths tricks
Boost your JEE Main score by focusing on high-yield topics in Physics, Chemistry, and Mathematics. Follow a smart study strategy, practice formulas, and solve past papers for speed and accuracy.
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
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