engineering-simulation

Turn existing CAE files into structured text an agent can use — COMSOL, Abaqus, Fluent, HFSS, Icepak, FloTHERM — plus solver detection, script linting, and live solver sessions. Strong coverage for electronics thermal and advanced packaging.

Python library for simulating heat transfer processes

Use Codex and Claude Code with COMSOL via sim-cli: .mph inspection, live Desktop sessions, bounded execution, artifacts.

AI-driven Abaqus workbench: describe a model in a spec, get a real solved one back. Every capability is backed by a check you can run on your own seat, and the gates refuse a doubtful answer instead of returning it. AGPL-3.0 + commercial licence.

Use Codex and Claude Code with Abaqus via sim-cli: CAE/noGUI authoring, batch jobs, ODB diagnostics, bounded execution.

Use AI coding agents with OpenFOAM via sim-cli: run cases, inspect results, and produce replayable CFD artifacts.

Use Codex and Claude Code with Ansys Workbench via sim-cli: journals, project inspection, persistent sessions, Mechanical handoff.

🧮 PINN Enterprise Platform - AI-Powered Physics Simulations with CopilotKit-style Research Canvas UI. Complete serverless architecture with RAG-powered code generation, 3D visualization, and global edge deployment.

Use AI coding agents with LTspice via sim-cli: run circuits, inspect waveforms/logs, and produce replayable simulation artifacts.

Engineering simulation project for electrical power system load flow analysis using Python. Includes Y-Bus matrix modeling, voltage profile analysis, transmission loss calculations, and convergence comparison between Gauss-Seidel and Newton-Raphson methods.

Python 火箭設計工具：任務 ΔV、推進、結構、熱力、GNC、V&V、不確定度、對標與氣動代理。MIT 授權。

17 open-source workflow skills and a runnable static contract auditor for Abaqus/FEA AI agents.

A modular aerospace engineering platform for hybrid rocket conceptual design, simulation, analysis, documentation, manufacturing preparation, validation, and AI-assisted engineering workflows.

A Python simulation environment for nonlinear process dynamics and classical feedback control (P, PI, PID), focused on stability analysis, setpoint tracking, and disturbance rejection in a multi-equilibrium reactor system.

Python-based simulation of aircraft AMM, IPC, and TSM lifecycle management with ATA-based impact assessment, configuration traceability, and compliance tracking.

Python-based tool for preliminary aircraft performance analysis including range, endurance, lift, drag, and flight dynamics.