Database for ChatMOF

ChatMOF is an autonomous Artificial Intelligence (AI) system that is built to predict and generate of metal-organic frameworks (MOFs). By leveraging a large-scale language model (gpt-3.5-turbo), ChatMOF extracts key details from textual inputs and delivers appropriate responses, thus eliminating the necessity for rigid structured queries. The system is comprised of three core components (i.e. an agent, a toolkit, and an evaluator) and it forms a robust pipeline that manages a variety of tasks, including data retrieval, property prediction, and structure generation. The study further explores the merits and constraints of using large language models (LLMs) AI system in material sciences using and showcases its transformative potential for future advancements.ChatMOF是一款自主人工智能（Artificial Intelligence，AI）系统，专为预测与生成金属有机框架（metal-organic frameworks，MOFs）而研发。依托大规模语言模型（large-scale language model）gpt-3.5-turbo，ChatMOF可从文本输入中提取关键信息并输出适配的响应，无需进行严格的结构化查询。该系统由三大核心组件构成，即智能体（agent）、工具集（toolkit）与评估器（evaluator），并构建了一套可处理多种任务的稳健工作流，涵盖数据检索、属性预测及结构生成等任务。本研究进一步探讨了将大语言模型（Large Language Model，LLM）AI系统应用于材料科学领域的优势与局限，并展示了其在未来发展中具备的变革性潜力。