GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
IEEE

Predicting Final Grades in Differential Calculus using Pre-College Profile and ALeKS Grades via Artificial Neural Network

Abstract: The goal of this study was to develop a predictive model to estimate students' final grades in Differential Calculus using performance in an AI-based personalized learning platform (ALEKS – ...
GitHub

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable.

From a technical point of view, the internal structure of the library is pretty cool -- all kinds of equations (ODEs, SDEs, CDEs) are solved in a unified way (rather than being treated separately), ...
IEEE

Design of a Differential Coupled-Line Directional Coupler Using a Double-Side Coplanar Waveguide Structure With Common-Signal Suppression

Abstract: In this work, a rigorous approach for the design of a differential coupled-line directional coupler (DCLDC) implemented in double-side coplanar-waveguide (CPW) technology is presented. Due ...