GitHub

zwicker-group/py-pde

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
IEEE

Solving Future Different-Layer Nonlinear and Linear Equation System Using New Eight-Node DZNN Model

Abstract: In this article, a future different-layer nonlinear and linear equation system (DLNLES) is investigated. First, based on a zeroing neural network (ZNN) method, a zeroing equivalency theorem ...
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

A Common-Mode Voltage Reduction Method Using an Active Power Filter for a Three-Phase Three-Level NPC PWM Converter

Abstract: This article proposes a common-mode (CM) voltage reduction method using an active power filter (APF) and common-mode transformer (CMT) for a grid-connected three-phase three-level ...