Abstract
This volume teaches you how to build real, autonomous AI agents that automate complex multiphysics simulations using only free open-source tools.
You will master Agentic AI with AutoGen 0.5.7 and Grok 4.3 to control the complete Gmsh + Elmer + Fortran pipeline. The NACA 0025 airfoil serves as the central practical example for thermal, structural, fluid, and coupled thermo-elastic analyses.
What you will learn:
How to turn plain-English engineering problems into automated simulations using intelligent agents
Full integration of elmer_gmsh_tools.py and naca_fem_agent.py as AutoGen FunctionTools
Hybrid Agentic AI + Reinforcement Learning pipelines (PPO, DDPG, TD3, SAC) for design optimization
Debugging, validation gates, surrogate modeling, scaling, and best practices for production-grade agents
By the end of Volume 2 you will have a reusable library of intelligent agents capable of reading an engineering request, planning the simulation, running the full Gmsh–Elmer workflow, interpreting results, and automatically optimizing designs.
You will master Agentic AI with AutoGen 0.5.7 and Grok 4.3 to control the complete Gmsh + Elmer + Fortran pipeline. The NACA 0025 airfoil serves as the central practical example for thermal, structural, fluid, and coupled thermo-elastic analyses.
What you will learn:
How to turn plain-English engineering problems into automated simulations using intelligent agents
Full integration of elmer_gmsh_tools.py and naca_fem_agent.py as AutoGen FunctionTools
Hybrid Agentic AI + Reinforcement Learning pipelines (PPO, DDPG, TD3, SAC) for design optimization
Debugging, validation gates, surrogate modeling, scaling, and best practices for production-grade agents
By the end of Volume 2 you will have a reusable library of intelligent agents capable of reading an engineering request, planning the simulation, running the full Gmsh–Elmer workflow, interpreting results, and automatically optimizing designs.
| Original language | English |
|---|---|
| Publisher | Independent Publisher |
| Number of pages | 1942 |
| Volume | 2 |
| Publication status | Published - 24 May 2026 |
Keywords
- AutoGen multiphysics agents
- Grok 4 simulation automation
- Reinforcement learning FEM optimization
- Hybrid agent RL pipeline
- Python multiphysics automation
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