Perovskites Machine-Readable Properties Dataset

We offer meticulously **curated**, high-quality, **machine-readable** datasets related to materials science. The data points, extracted from a broad collection of peer-reviewed journals including Springer Nature, have been critically evaluated by materials science experts.

The **Perovskites dataset** consists of **experimental** measurements on over **3,000** various inorganic perovskite **materials.** It provides extensive information on numerous perovskite **properties**, including examples such as:

- **Magnetic** magnetic transitions, magnetization, Curie-Weiss paramagnetism
- **Electronic and Electrical** electrical conductivity, permittivity, ferroelectric transitions
- **Thermal and Thermodynamic** heat capacity, thermal expansion, thermoelectric power, entropy
- **Phase Transitions** structural transitions, fusion, decompositions
- **Mechanical** elasticity, compressibility
- **Optical** wavenumber of optical phonons, optical absorption, refractive index
- **Superconductivity** superconducting transition temperature, critical magnetic field

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# Tables & Fields

**PHYSICAL_PROPERTIES_OF_PEROVSKITES**

Physical properties of perovskites from the Linus Pauling File (LPF-2022)

ADDITIONAL_PARAMETER_SYMBOL

ADDITIONAL_PARAMETER_VALUE_UNIT

CREATED

DATA_ENTRY_ID

NUMERICAL_VALUE_DISPLAY

NUMERICAL_VALUE_FLOAT

NUMERICAL_VALUE_FLOAT_STRING

NUMERICAL_VALUE_SIGNIFICANT_DIGITS

PARAMETER_TEMPERATURE

PHYSICAL_PROPERTY

PHYSICAL_PROPERTY_CLASSIFICATION

PHYSICAL_PROPERTY_ORIGINAL_VALUE_UNIT

PHYSICAL_PROPERTY_SYMBOL

REFERENCE

REMARK

SAMPLE_FORM

SAMPLE_ORIENTATION

SUBSTANCE_CLASSIFICATION

SUBSTANCE_ELEMENT_SYSTEM

SUBSTANCE_MOLECULAR_FORMULA_AND_PHASE

UNIT

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For access and licensing, please contact us directly.

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原始信息汇总

Perovskites Machine-Readable Properties Dataset 概述

数据集基本信息

• 数据集名称: Perovskites Machine-Readable Properties Dataset
• 提供商: Springer Nature
• 数据集类型: 材料科学相关的高质量、机器可读数据集
• 数据来源: 从包括Springer Nature在内的同行评审期刊中提取，并经过材料科学专家的严格评估
• 数据量: 包含超过3,000种无机钙钛矿材料的实验测量数据

数据内容

• 主要属性分类:
  • 磁性: 磁转变、磁化、居里-魏斯顺磁性
  • 电子与电气: 电导率、介电常数、铁电转变
  • 热与热力学: 热容、热膨胀、热电功率、熵
  • 相变: 结构转变、融合、分解
  • 机械: 弹性、压缩性
  • 光学: 光学声子波数、光吸收、折射率
  • 超导性: 超导转变温度、临界磁场

数据结构

• 主表: PHYSICAL_PROPERTIES_OF_PEROVSKITES
  • 字段:
    • ADDITIONAL_PARAMETER_SYMBOL
    • ADDITIONAL_PARAMETER_VALUE_UNIT
    • CREATED
    • DATA_ENTRY_ID
    • NUMERICAL_VALUE_DISPLAY
    • NUMERICAL_VALUE_FLOAT
    • NUMERICAL_VALUE_FLOAT_STRING
    • NUMERICAL_VALUE_SIGNIFICANT_DIGITS
    • PARAMETER_TEMPERATURE
    • PHYSICAL_PROPERTY
    • PHYSICAL_PROPERTY_CLASSIFICATION
    • PHYSICAL_PROPERTY_ORIGINAL_VALUE_UNIT
    • PHYSICAL_PROPERTY_SYMBOL
    • REFERENCE
    • REMARK
    • SAMPLE_FORM
    • SAMPLE_ORIENTATION
    • SUBSTANCE_CLASSIFICATION
    • SUBSTANCE_ELEMENT_SYSTEM
    • SUBSTANCE_MOLECULAR_FORMULA_AND_PHASE
    • UNIT

应用场景

• 加速研发创新: 支持材料发现、机器学习应用、设备工程和能源应用
• 可靠决策: 数据来自同行评审的科学文献，并由专家评估，确保数据完整性
• 基准测试与验证: 研究人员和公司可以将实验结果与可信数据进行比较

使用示例

• 物理属性概览
• 数据集中最常见的20种物理属性
• 报告20种最常见物理属性所使用的单位
• 以欧姆米为单位的电阻率数据
• 电阻率数据的分布分析
• 钙钛矿数据集中物质及其物理属性的摘要
• 物质对给定物理属性对的数据分析
• 属性类别对的物质数量热图
• 电阻率与居里温度之间的相关性分析
• 钙钛矿多铁性物质的Ashby图

访问与许可

• 访问方式: 通过Snowflake平台访问，需单独签订协议
• 许可条款: 所有访问请求和许可查询必须直接联系Springer Nature
• 数据更新: 静态数据

地理覆盖范围

• 全球范围，按国家划分

云区域可用性

• AWS: 非洲（开普敦）、亚太（雅加达）、亚太（孟买）、亚太（大阪）等45个区域

联系方式

• 销售: [e-mail]
• 支持: [e-mail]

搜集汇总

背景与挑战

背景概述

该数据集收录了3000多种无机钙钛矿材料的实验测量数据，涵盖磁学、电学、热力学等7大类物理性质，数据经专家审核并需通过Springer Nature的授权协议获取。