HEA_database

High Entropy Alloys (HEA) Database Documentation Besides the README.md file containing the database description, this repository contains two main datasets related to High Entropy Alloys (HEAs): 1. Database of HEAs (database_of_HEAs.csv) This dataset contains detailed information about various High Entropy Alloys, including their composition, phase structure, and experimental/theoretical details. Dataset Structure: id: Unique identifier for each entry Paper: Source paper identifier Name: Name of the paper file Alloy: Chemical composition of the HEA Nb of phase: Number of phases present Phase: Phase structure (e.g., BCC, FCC, etc.) Experimental or theoretical: Classification of the study type Experimental details: Detailed experimental procedure Theoretical details: Theoretical methods used (if applicable) Special conditions: Any special conditions or notes Type of solution: Classification of the solution type 2. Database of Raw Responses (database_of_raw_responses.csv) This dataset contains the raw responses and extracted information from scientific papers about HEAs. Dataset Structure: article: Article identifier pdf_url: URL to the PDF file prompt1-5: Different prompts used for data extraction context_missread_bug: Any context reading issues reference: Reference information source: Source of the data URL: URL to the source compound: Compound information Usage These datasets can be used for: Studying the composition and properties of various HEAs Analyzing experimental procedures and conditions Understanding phase structures and their relationships Research in materials science and metallurgy Machine learning applications in materials discovery Data Format Both datasets are provided in CSV format, making them easily accessible for: Data analysis using Python (pandas) Statistical analysis Machine learning applications Database integration高熵合金（High Entropy Alloys, HEA）数据库文档 除包含用于说明数据库的README.md文件外，本仓库共收录两个与高熵合金相关的核心数据集： 1. 高熵合金数据库（database_of_HEAs.csv） 本数据集收录了各类高熵合金的详细信息，涵盖其化学成分、相结构以及实验/理论研究细节。 数据集结构： id：每条记录的唯一标识符 Paper：来源论文标识符 Name：论文文件名称 Alloy：高熵合金的化学成分 Nb of phase：所含相的数量 Phase：相结构（如体心立方BCC、面心立方FCC等） Experimental or theoretical：研究类型分类 Experimental details：详细实验步骤 Theoretical details：所用理论方法（如适用） Special conditions：特殊条件或备注信息 Type of solution：固溶类型分类 2. 原始响应数据库（database_of_raw_responses.csv） 本数据集收录了来自高熵合金相关学术论文的原始响应内容与提取信息。 数据集结构： article：文章标识符 pdf_url：论文PDF文件的链接 prompt1-5：用于数据提取的不同提示词 context_missread_bug：上下文读取相关问题 reference：参考文献信息 source：数据来源 URL：数据来源的链接 compound：化合物信息 应用场景 本数据集可用于： - 各类高熵合金的成分与性能研究 - 实验流程与实验条件分析 - 相结构及其关联机制解析 - 材料科学与冶金学领域的研究 - 材料发现领域的机器学习应用 数据格式 两个数据集均采用CSV格式存储，可便捷应用于： - 基于Python（pandas库）的数据分析 - 统计分析 - 机器学习应用 - 数据库集成