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 ...
Dot Physics on MSN
Chapter 12: Equilibrium and elasticity in physics explained
Chapter 12 of physics is all about equilibrium and elasticity! We’ll break down the physics of balance and how materials react to stress and strain. #Elasticity #EquilibriumInPhysics #ForcesAndMotion ...
Scientists may have finally unlocked the unusual role quasiparticles known as "anyons" play in a pair of quantum experiments ...
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 ...
Arvin Ash on MSN
I explain physics in just 15 minutes!
In this video, we explore five key areas of physics: **Classical Mechanics:** Newton’s second law (F = ma) explains the relationship between force, mass, and acceleration. The law of universal ...
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 ...
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