Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

In January I wrote a piece titled “ 5 Physics Equations Everyone Should Know .” Lots of you weighed in with your own ...

A step-by-step guide for applying an old DI that used simple circuits for PWM programming of standard bucking-type regulator ...

Several fundamental results on the existence and behavior of solutions to semilinear functional differential equations are developed in a Banach space setting. The ideas are applied to ...

This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business, Erasmus ...

Negative differential resistance, sometimes called negative dynamic resistance (NDR), occurs when an increase in voltage ...

This repository contains the PyTorch implementation for the paper Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. Spotlight presentation (Notable Top 5%). Oh, ...