MOP Simulator V3.5.0
An autonomous full-stack AI research platform coupling a C++23 terminal ballistics engine with LLM integration.
Overview
MOP Simulator V3.5.0 has evolved from a standalone native binary into a full-stack autonomous AI research platform. It tightly couples a high-performance C++23 terminal ballistics simulation engine with a Node.js/Express automation backend and advanced LLM AI integration (Google Gemini 2.5 Flash). It is designed to autonomously hypothesize target geometries and execute massive multi-scenario penetrations.
Problem, Approach, Outcome
Bridging low-level physical ballistics equations with automated web architecture. This was solved by streaming and aggregating live penetration telemetry (e.g., GBU-57 MOP, BLU-109, Orbital Kinetic Strikes) directly into a MongoDB database, allowing the LLM to automatically synthesize the findings into peer-reviewed-quality academic research articles alongside a dynamic Three.js WebGL visualizer.
“Autonomously synthesizes massive multi-scenario penetration telemetry into peer-reviewed-quality academic research.”
Add more material presets, expand custom projectile geometries, and enhance WebGL shader effects for hydrodynamic soil penetration limits.