Boost your JEE Main score by focusing on high-yield topics in Physics, Chemistry, and Mathematics. Follow a smart study ...

While the basic tenets of subjects will not change, the strategies, tools, and resources that are available to candidates have been reshaped by AI.

In this article, we get technical. What is Floquet engineering, and how can this quantum-level science impact materials? We ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

For JEE Main 2026 aspirants, mastering key Mathematics topics is crucial for high scores. This article highlights four ...

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 ...

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 shown their potential for solving direct problems in many engineering domains including electromagnetics. We employ fully connected and ...

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 ...

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 ...

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 ...

Revising all formulas often and working through JEE Main questions from previous years will build the required speed and ...