用大模型聊天机器人自动建模电磁仿真，省时省力。
Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations
- 基于Gemini 2.0 Flash构建聊天机器人，自动生成二维有限元涡流模型。
- 支持不同位置和数量的圆形导体，可自定义后处理并获取结果摘要。
- 适合需要快速搭建电磁仿真流程的研究人员或工程师。
本研究探讨生成式人工智能如何缩短电磁仿真建模时间。提出一种基于大语言模型的聊天机器人，可自动创建带多种功能增强的仿真模型。该聊天机器人驱动的工作流基于Google Gemini 2.0 Flash，利用Gmsh和GetDP自动生成并求解二维有限元涡流模型。Python用于协调各组件间的自动化交互。研究涵盖具有可变位置与数量的圆形截面导体几何结构。用户还可自定义后处理流程，并获得模型信息与仿真结果的简洁总结。每项功能增强均配有相应的架构改动及案例演示。
原文摘要 · Abstract (English)
This work addresses the question of how generative artificial intelligence can be used to reduce the time required to set up electromagnetic simulation models. A chatbot based on a large language model is presented, enabling the automated generation of simulation models with various functional enhancements. A chatbot-driven workflow based on the large language model Google Gemini 2.0 Flash automatically generates and solves two-dimensional finite element eddy current models using Gmsh and GetDP. Python is used to coordinate and automate interactions between the workflow components. The study considers conductor geometries with circular cross-sections of variable position and number. Additionally, users can define custom post-processing routines and receive a concise summary of model information and simulation results. Each functional enhancement includes the corresponding architectural modifications and illustrative case studies.
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