With board exams approaching, many students find numerical problems in Physics and Chemistry difficult and time-consuming. These questions test more than memory. They check whether a student ...

Physics Problem: Understanding the work done on a hanging box! 📦🔋 In this video, we dive into the concept of work in physics by analyzing the forces acting on a box hanging from a rope. Learn how to ...

Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...

Find out why the fundamental building blocks of engineering in 2026 are mathematics and physics. Examine their fundamental ...

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 ...

Initially the intent is to include ~1-page pdf files, each treating a specific problem in plasma physics (e.g., landau damping, two-stream instability, etc.). Eventually we are going to create codes ...

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 ...

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 ...

I learned to respect friction, as a phenomenon with many nuances, when I was a graduate student. One day, while teaching a problem session in elementary mechanics, I unwisely invented a new problem to ...