Topology Optimization using Python

Python code for topology optimization using CalculiX FEM solver.

Differentiable Finite Element Method with JAX

A package for binary and continuous, single and multi-material, truss and continuum, 2D and 3D topology optimization on unstructured meshes using automatic differentiation in Julia.

Topolograph.com is an online project which can visualize OSPF/ISIS topology based on LSDB output from a single network device. Then you can not only see (and check) the shortest path from source to destination, but also see the outcome from link or node failure along the path to the destination.

Topology Optimization Laboratory

Code for "Neural Networks for Topology Optimization"

Code for paper "Self-Directed Online Machine Learning for Topology Optimization"

A Python Library for Topology Optimization

Dataset of topology optimization

Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.

LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force equilibrium with MPM. With carrier particles as design variables, LETO reparameterizes the Eulerian solution space in a Lagrangian view.

A topology optimization framework written in Taichi programming language.

Toolbox for the generative design of geometrically-encoded physical objects using numerical modelling and evolutionary optimization

DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.

Topology optimization using PETSc: a Python wrapper and extended functionality

Artificial intelligence aided engineering design.

Modern C++20 finite element method and shape optimization framework.

This repository contains a simple 55 lines code to carry out large scale parallel Topology Optimization using FEniCS in python

Multidisciplinary-design Adaptation and Sensitivity Toolkit (MAST) - Sensitivity-enabled multiphysics FEA for design