Recently, the integration of advanced simulation technologies with artificial intelligence (AI) is revolutionizing science and engineering research. ChronoLlama introduces a novel framework that customizes the open-source LLMs, specifically for code generation, paired with PyChrono for multi-physics simulations. This integration aims to automate and improve the creation of simulation scripts, thus enhancing model accuracy and efficiency. This combination harnesses the speed of AI-driven code generation with the reliability of physics-based simulations, providing a powerful tool for researchers and engineers. Empirical results indicate substantial enhancements in simulation setup speed, accuracy of the generated codes, and overall computational efficiency. ChronoLlama not only expedites the development and testing of multibody systems but also spearheads a scalable, AI-enhanced approach to managing intricate mechanical simulations. This pioneering integration of cutting-edge AI with traditional simulation platforms represents a significant leap forward in automating and optimizing design processes in engineering applications.

本研究解决了将先进模拟技术与人工智能集成的不足，提出了一种新的框架ChronoLlama，旨在为代码生成定制开源大型语言模型，结合PyChrono进行多物理场模拟。研究发现，该集成显著提高了仿真设置速度、生成代码的准确性和整体计算效率，促进了多体系统的开发与测试，为复杂机械仿真的管理提供了一种可扩展的AI增强方法。

ChronoLLM：基于PyChrono的定制大型语言模型框架，用于数字双胞胎泛化