PicoGK is a compact and robust geometry kernel for Computational Engineering
A curated list of 100+ AI-ready tools for Computer-Aided Engineering, ranked by an AI-Readiness Score (agent-callability: MCP, Python API, CLI, pip). CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers.
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.
Quantum-Enhanced Digital Twin Framework for Aerospace Systems - Reference Architecture Quantum Computing & AI Synthetic Data Generation
Notes and personal docs about foundation model in Engineering
Aspen Plus-validated pharmaceutical process design and techno-economic evaluation of a honeyed bitter-kola (Garcinia kola) tablet manufacturing facility.
Computational engineer building simulation tools, AI systems, and cinematic web experiences.
Source of the github.com/Sumanthreddy-DE profile README: Scientific ML and Computational Engineer, available immediately for Berechnung and applied LLM roles in DACH
Engineering research in process systems engineering through modelling, simulation, technical investigation, and validation.
ALE fluid–structure interaction (FSI) solvers in FEniCSx/DOLFINx for soft hydraulics — 2D and 3D, steady and transient, flow-induced deformation of compliant microchannels, as Jupyter notebooks with analytical benchmarks.
A generative space propulsion design tool: 0D/1D physics to voxel geometry (PicoGK), neural surrogates, generative optimization. Open-source experiment, engine-family-agnostic.
Small validation slice of the SGK pre-design: PicoGK voxel geometry, feature extraction, analytical flow benchmarks with OpenFOAM cross-check.
Completed dependency-free Rust finite-volume solver for two-dimensional steady heat conduction with residual monitoring and SVG output.
Grok Build process skills for computational engineering models and greenfield research platforms.
Differentiable feature-mapping framework for reconstructing density-based topology optimization results using parametric capsule primitives and exact second-order derivatives.
LaTeX source of my MSc thesis: Physics-Informed Neural Networks for composite interface parameter identification (FAU, 2026)
Computational engineering, parametric CAD, applied ML — built by Rizky "Kiki" Meilandi Saputra. Vintage soul. Modern precision.
Parametric luquid engine design tool , requirements become inputs and then they become constraints. They get sized and the output is a 3D-printable engine
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