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 ...

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Why are the Higgs field and dark energy so weak? Find the answer and you could earn yourself a Nobel Prize, says Dr Karl. Around the year 1900, the astronomers had a big problem — "what powered the ...

A spat over scientific advice to government underlines, yet again, the need for better engagement with science across the population. If you're reading this, you're probably a scientist. Would you ...

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education This study was conducted to uncover and analyze ...

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 ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

Expressive cartoon illustration of an elderly man experiencing retina detachment symptoms. Drawing of cross section eye showing vision problem on retina. Awareness campaigns about vision problems, ...

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 ...

Researchers from Queensland University of Technology, Tsinghua University, and international partners outline a new vision for computational mechanics that tightly integrates physical laws with ...

This repository implements Physics-Informed Neural Networks (PINNs) for power grid analysis and renewable energy applications. The project combines deep learning with physical constraints to solve ...

This repository contains two examples: InversePinnConstantCoef.mlx and InversePinnVariableCoef.mlx. Both examples are solvers for an inverse problem for the Poisson equation $−\nabla \cdot (c\nabla ...