GPU accelerated differentiable finite elements for solid mechanics with PyTorch

Deep reinforcement learning to perform shape optimization

Fluid based shape optimization with Blender and OpenFOAM

A shape optimisation toolbox built on the Firedrake finite element library.

CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms

An object-oriented Python 3 GUI and API for single- and multi-element parametric airfoil design, analysis, and optimization

Simple shape optimization script which generates nodal shifting according to sensitivities calculated by CalculiX FE solver.

Reinforcement Learning based Shape Optimization

PyFreeCoil - Free-Shape Optimization of Air-Core Inductors

Shape Optimization based on Restricted Mesh Deformations

Neural Injective Geometry networks (NIGnets) for non-self-intersecting geometry.

This repository contains the code for our 3D Printing & Additive Manufacturing paper “Data-Driven Nonlinear Deformation Design of 3D-Printable Shells.”

Prosthetic foot design based on genetic algorithm

Computation of generalized Cheeger sets

Import a CAD volume → optimized aerodynamic enclosure out (STEP/STL). 3D aero shape optimization with an uncertainty-aware ML surrogate, a confidence model, and verify-against-truth.

In this repository, optimal estimation of change in temperature state is discussed using deep learning and shape optimization techniques.

A modular framework for aerodynamic shape optimization. Couples parametric CAD engines (SALOME, Blender) or native OpenFOAM blockMesh with OpenFOAM for automated CFD-driven design workflows.

Solve convex-shape optimization problems