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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A back-to-basics brain teaser is dividing the internet. BholanathDutta shared the sum 100 + 100 × 4 = ? on X, formerly Twitter, sparking debate among users. At first glance, many people speed to the ...

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 ...

Abstract: During industrial smart manufacturing, many problems can be described as a time-dependent nonlinear equation system (TNES) that needs to be solved cooperatively due to large-scale ...

Abstract: This letter solves the Sylvester equation in the form of $AX+XB=C $ in a distributed way, and proposes a distributed continuous-time algorithm when there is ...

This repository contains code for efficiently fitting parametric SMPL/SMPL+H/SMPL-X human body models to nonparametric 3D vertex and joint locations. The input needs to be in correspondence with the ...