Physicists are quietly advancing a radical idea: time might not be a single, thin line but a full three‑dimensional landscape ...
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 ...
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 ...
EqualZ is a simplified clone of EqualX, but written in Python and standalone, i.e. without depending on external tools. In other words, you don't have to install a full LaTeX stack and bloat your disk ...
Contribution from the Departamento de Química Orgánica (C-I), Universidad Autónoma de Madrid, Cantoblanco, E−28049 Madrid, Spain, and Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...
This video explains a simple math concept that’s even easier than solving a quadratic equation. With clear logic and intuitive steps, you’ll see how breaking problems down the right way can make math ...