From free body diagrams to energy methods, a structured approach to Mechanics can turn one of JEE’s toughest sections into a ...
Learn the key physics definitions of position, displacement, velocity, and acceleration explained clearly and simply. This quick breakdown helps build a strong foundation for understanding motion in ...
Newtonian, Lagrangian, and Hamiltonian approaches! 🕰️🔬 In this video, we explore the motion of a simple pendulum from three different perspectives: the Newtonian approach (using forces and ...
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 ...
This repository includes the training and evaluation code for the above paper. python train_script.py --name data_physics --data True --physics True --pretrained_checkpoint DATA_CHECKPOINT ...
In 1914, Srinivasa Ramanujan arrived at Cambridge with a notebook filled with 17 extraordinary infinite series for 1/π. They were strikingly efficient, producing accurate digits of the world’s most ...
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 ...