Morning Overview on MSN

Your toaster emits 1.73T particles/min, even when it’s off

Household gadgets have a way of sounding scarier than they are once someone attaches a giant number to them. The claim that a ...
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 ...
IEEE

Applications of Physics-Informed Neural Networks in Power Systems - A Review

Abstract: The advances of deep learning (DL) techniques bring new opportunities to numerous intractable tasks in power systems (PSs). Nevertheless, the extension of the application of DL in the domain ...