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
Aspen Plus-validated pharmaceutical process design and techno-economic evaluation of a honeyed bitter-kola (Garcinia kola) tablet manufacturing facility.
A generative space propulsion design tool: 0D/1D physics to voxel geometry (PicoGK), neural surrogates, generative optimization. Open-source experiment, engine-family-agnostic.
Source of the github.com/Sumanthreddy-DE profile README: Scientific ML and Computational Engineer, available immediately for Berechnung roles in DACH
Development of mechanical design system using TgNN (theory guided neural network)
Differentiable feature-mapping framework for reconstructing density-based topology optimization results using parametric capsule primitives and exact second-order derivatives.
Engineering research in process systems engineering through modelling, simulation, technical investigation, and validation.
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.
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.
Small validation slice of the SGK pre-design: PicoGK voxel geometry, feature extraction, analytical flow benchmarks with OpenFOAM cross-check.
Physics-Informed Neural Network that recovers extended-interface parameters from 3-layer interphase composites: micromechanics homogenization in PyTorch
Finite-difference investigation of the transient 1D heat equation using Explicit FTCS, Laasonen and Crank–Nicolson schemes.
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.
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