LitCurate：配置驱动的AI辅助科学数据库构建框架及其在下地幔状态方程数据中的应用
原标题：LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data
AI 摘要
LitCurate 是一个开源框架，利用大语言模型在可审计的分阶段工作流中从文献构建科学数据库，集成了文献发现、相关性筛选、全文处理和结构化信息提取，并保留中间结果和来源。研究团队应用该框架构建了下地幔矿物状态方程数据库，包含来自 205 篇论文的 1334 条记录，并通过可搜索的网页应用提供访问。该框架通过将科学文献与可追溯的机器可读数据连接起来，为将积累的文献转化为科学分析和计算建模资源提供了可复用的方法。
正文节选
LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data Abstract The growing scientific literature contains decades of experimental and computational results that could support data-driven and physics-based modeling, yet much of this information remains locked in publications and is not readily usable for large-scale analysis or scientific software. Building structured databases from the literature is