Semiconductor 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 publications, have been **critically evaluated** by materials science experts.

The **Semiconductor dataset** consists of **experimental** measurements on over **5,000** various semiconductor **materials**. It provides extensive information on numerous semiconductor **properties**, including examples such as:

- **Electronic and Electrical** electrical resistivity, band gap, charge carrier concentration, effective mass
- **Magnetic** magnetization, magnetic transitions, magnetic susceptibility
- **Thermal and Thermodynamic** heat capacity, thermal expansion, thermoelectric power, thermal conductivity
- **Phase Transitions** structural transitions, decompositions
- **Mechanical** elastic modulus, hardness, compressibility
- **Optical** phonons, optical absorptions, luminescence
- **Superconductivity** superconducting transition temperature

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- **Needs Analysis:** Completion of the needs analysis to understand your requirements.
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- **Implementation and Delivery:** Seamless onboarding, setup, and delivery of your chosen solution, with full support and training.

# Tables & Fields

**PHYSICAL_PROPERTIES_OF_SEMICONDUCTORS**

Physical properties of semiconductors from the Linus Pauling File (LPF) 2022 data

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

# **Access and Licensing Terms**

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原始信息汇总

Semiconductor Machine-Readable Properties Dataset

数据集概述

• 提供方: Springer Nature
• 数据集名称: Semiconductor Machine-Readable Properties Dataset
• 数据内容: 包含超过5,000种半导体材料的实验测量数据
• 数据来源: 从Springer Nature等同行评审期刊中提取，并经材料科学专家严格评估

数据属性

• 电子与电气属性: 电阻率、带隙、载流子浓度、有效质量
• 磁性属性: 磁化强度、磁转变、磁化率
• 热与热力学属性: 热容、热膨胀、热电功率、热导率
• 相变属性: 结构转变、分解
• 机械属性: 弹性模量、硬度、压缩性
• 光学属性: 声子、光吸收、发光
• 超导属性: 超导转变温度

数据表结构

• 表名: PHYSICAL_PROPERTIES_OF_SEMICONDUCTORS
• 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

业务需求

• 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: 数据来自同行评审文献，确保数据完整性和可信度
• 基准测试与验证: 研究人员和公司可比较实验结果与可信数据

使用示例

1. 半导体数据集中的物理属性概述
   • 查询所有物理属性及其相关数据点数量
2. 半导体数据集中的带隙数据
   • 查询带隙（直接和间接）及其与温度、压力等外部参数的关系
3. 报告20种最常见物理属性的单位
   • 查询每种物理属性使用的单位
4. 以欧姆米为单位的电阻率数据
   • 查询特定物质、物理属性及其符号、数值、温度等参数
5. 电阻率数据的分布
   • 可视化电阻率数据的分布
6. 电导率的温度依赖性
   • 查询电导率与温度的关系
7. 半导体物质及其物理属性
   • 查询每种半导体物质的物理属性及其数据点数量
8. Ashby图（居里温度与塞贝克系数）
   • 查询用于绘制Ashby图的数据

访问与许可条款

• 访问限制: 需通过Springer Nature的单独协议获取，Snowflake无权授予访问权限
• 许可条款: 所有访问请求和许可查询需直接联系Springer Nature
• 条款优先级: 若Snowflake条款与Springer Nature条款存在差异，以Springer Nature条款为准

联系方式

• 销售: [e-mail]
• 支持: [e-mail]

其他信息

• 数据更新: 静态数据
• 地理覆盖范围: 全球
• 法律条款: 离线