Overview: MATLAB books guide students from basic programming to advanced engineering applicationsPractical examples and ...

This MATLAB implementation trains a Physics-Informed Neural Network (PINN) to solve the Navier-Stokes equations for incompressible fluid flow. The model is validated against the well-known Lid-Driven ...

Math equations used to be a daily chore for many elementary schoolers. But entering adulthood means those less mathematically inclined often never have to think about them ever again. And it appears ...

The Artificial Intelligence chatbot, ChatGPT, appeared to improvise ideas and make mistakes like a student in a study that ...

A mathematical brain teaser challenges people to solve the matchstick equation in just two moves. The puzzle uses matchsticks ...

This study offers a valuable theoretical framework for quantifying molecular transport across interfaces between coexisting liquid phases, emphasizing interfacial resistance as a central factor ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Physics-informed neural networks (PINNs), rooted in deep learning, have emerged as a promising approach for solving partial differential equations (PDEs). By embedding the physical information ...

Abstract: In this article, a neural dynamics model is constructed and investigated for solving time-dependent Sylvester equation with matrix inversion involved in the solving process. Besides, to ...