My fork of NEMoSys, a platform for adaptive mesh refinement and solution verification.

An ongoing project on developing a parallel 2D2P Maxwell — Vlasov — Boltzmann solver on adaptive meshes

Adaptive neural networks using dynamic piecewise linear layers

PyNeuroMesh is a hybrid meshing pipeline that integrates neural implicit surface representations with classical mesh generation. It uses neural networks to learn signed distance functions (SDFs) and adaptive refinement fields to guide high-quality mesh generation using GMSH

Adaptive Mesh Refinement for BSSN numerical relativity simulations. Thanks to https://github.com/lvandeve/lodepng for the simple png encoder and decoder.

# UNIFIED_QG: Unified Quantum Gravity Pipeline

1D Finite-Difference/Volume with AMR and steady-state solver using Newton and Split-Newton with sparse Jacobian

Create cool images with Adaptive Mesh Refinement!

Github repository of VerHem project source tree. A tensor-valued (up to 18 components) solving, post-processing and visualization parallel suite for 3D GL equations and complex geometries with adaptive mesh.

Graduation project of a coffee drink online-store

A flexible parallel-hybrid framework for computational physics simulations.

Prototype patch graph implementation

A finite element implementation of the classical Planck-Fokker equation using a discontinuous Galerkin method and adaptive mesh refinement

a simple 2D finite element code using uniform and adaptive meshes

Learning project of pet food store with adaptive layout

Introduction to Julia and Trixi, a numerical simulation framework for hyperbolic PDEs

This is the educational project with main purpose is to develop and test the multidimensional adaptive grid which can be used in Reinforcement Learning area. Additional purpose of this project is to learn and try CUDA programming with Alea GPU.