PicoGK is a compact and robust geometry kernel for Computational Engineering
-
Updated
Feb 24, 2026 - C#
PicoGK is a compact and robust geometry kernel for Computational Engineering
A curated list of 113 AI-ready tools for Computer-Aided Engineering — CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers. Python APIs, CLI, mesh generation, optimization.
AI-Powered Micro Turbojet Engine Design System — Computational engineering for autonomous engine design
Awesome open source computational design tools.
This repository contains a simple particle physics simulation that demonstrates the behavior of particles with gravitational effects. The simulation is implemented using Pygame for visualization and PyOpenGL for rendering.
Differentiable feature-mapping framework for reconstructing density-based topology optimization results using parametric capsule primitives and exact second-order derivatives.
Development of mechanical design system using TgNN (theory guided neural network)
Generate optimized micro turbojet engine designs for VTOL drones using AI-driven computational engineering with ready-to-print 3D models.
Quantum-Enhanced Digital Twin Framework for Aerospace Systems - Reference Architecture Quantum Computing & AI Synthetic Data Generation
Python simulation of a 3D-printed 26-cell maize seed metering plate. Combines gear-drive kinematics, ground wheel slip, and a Monte Carlo model to predict intra-row seed spacing distribution.
FEniCS ALE-FSI customized for soft hydraulics problems
Collection of computer programs that solve selected mathematical problems. Self-study documentation primarily from Massachusetts Institute of Technology OpenCourseWare courses: Computational Science and Engineering I [18.085, undergraduate & graduate]
BHT CPE Computational Engineering laboratory
Add a description, image, and links to the computational-engineering topic page so that developers can more easily learn about it.
To associate your repository with the computational-engineering topic, visit your repo's landing page and select "manage topics."