Young Modulus Metals Dataset

Key Highlights

• Data Scope: Covers 50 metals with chemical symbols and corresponding Young’s Modulus values.
• Range of Stiffness: Includes soft metals like cesium (1.7 GPa) and extremely stiff metals like ruthenium (447 GPa).
• Data Integrity: Features clean, complete, and verified data with no missing or duplicate entries.

Applications in Data Science & Engineering

This dataset serves as a foundation for a range of innovative applications in engineering, education, and data science:

1. Predictive Modeling: Train machine learning models to estimate mechanical properties using elemental features like atomic weight or density.
2. Cluster Analysis: Group metals into clusters based on mechanical properties or periodic trends.
3. Correlation Studies: Analyze relationships between Young’s Modulus and other physical/chemical attributes like atomic radius, density, or melting point.
4. Engineering Simulations: Leverage the dataset in finite element analysis (FEA) and material selection processes.
5. Educational Visualizations: Create engaging graphs or infographics to illustrate material property trends across the periodic table.

Dataset Overview

• Metals Included: 50 unique metals with their chemical symbols.
• Young’s Modulus Values: From 1.7 GPa (Cesium) to 447 GPa (Ruthenium).
• Data Quality:
  • Verified for accuracy using authoritative scientific references.
  • Ensures 100% completeness with no missing values.
  • Free from duplicate entries.

Ethical and Reliable Data

The dataset has been compiled using publicly available scientific data, ensuring ethical sourcing and adherence to open-data standards. Verification was performed through cross-referencing with peer-reviewed academic resources.