IEEE

Solving Combined Field Integral Equations With Physics-Informed Graph Residual Learning for EM Scattering of 3-D PEC Targets

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 ...
Hosted on MSN

Solving projectile motion problems with the quadratic formula

In this video, we dive into how to solve projectile motion problems using the quadratic formula! From calculating the height and distance to finding the time of flight, we’ll show you how to apply the ...
Hosted on MSN

Solving physics problems: Motion of a 2D spring

In this video, we’ll break down how to solve physics problems involving the motion of a 2D spring. Learn about the forces at play, how to model the spring’s movement, and the key concepts behind ...
IEEE

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation

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 ...