Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

Learn how to solve boundary value problems in Python using the finite difference method! 🐍📐 This tutorial walks you step-by-step through setting up the problem, discretizing the domain, and ...

Learn how to solve projectile motion equations using vectors in this step-by-step physics tutorial! This video explains how to break motion into components, calculate displacement and velocity, and ...

🚩News (2025.04) We have released Neural-Solver-Library as a simple and neat code base for PDE solving. It contains 17 well-reproduced neural solvers. Welcome to try this library and join the research ...

This repository contains a Deep Kernel Bayesian Optimization approach developed for the ThinkOnward Heat Signature Zero challenge, which involved simulation-guided inference for a PDE system. The core ...

Abstract: The main novelty of using Physics Informed Neural Net (PINN) for electostatic field modeling is that it exploits the underlying physics law when training deep learning. This is attributed to ...

Abstract: In this paper, the close-formula method is proposed and improved for the analysis of print circuit board (PCB) cross sections with inhomogeneous dielectric constant (Dk). The mathematical ...