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

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

Shape Optimization based on Restricted Mesh Deformations

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

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.

Automated pediatric heart-valve design pipeline: NURBS geometry, SolidWorks CAD, Gmsh meshing, LS-DYNA simulation, shape optimization (public reconstruction)

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.

Solve convex-shape optimization problems