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Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations
🤖AI Summary
Researchers developed a chatbot based on Google Gemini 2.0 Flash that automatically generates and solves electromagnetic simulation models, significantly reducing setup time. The system uses Python to coordinate between workflow components and can handle various conductor geometries while providing custom post-processing capabilities.
Key Takeaways
- →A large language model-based chatbot can automate electromagnetic simulation model generation and setup.
- →The system integrates Google Gemini 2.0 Flash with Gmsh and GetDP for two-dimensional finite element eddy current modeling.
- →Python coordination enables automated workflows between different simulation components.
- →The chatbot supports variable conductor geometries and custom post-processing routines.
- →This approach demonstrates practical applications of generative AI in engineering simulation workflows.
Mentioned in AI
Models
GeminiGoogle
#llm#chatbot#simulation#automation#google-gemini#electromagnetic#finite-element#workflow-automation#engineering-ai
Read Original →via arXiv – CS AI
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