materials-science

name	materials-science
description	Analyzes material properties including crystal structures, phase diagrams, mechanical/thermal/electronic properties, and supports materials discovery through computational approaches; trigger when users discuss alloys, ceramics, polymers, nanomaterials, or materials characterization.

When to Trigger

Activate this skill when the user mentions:

• Crystal structures, lattice parameters, space groups, unit cells
• Phase diagrams, phase transitions, thermodynamic stability
• Mechanical properties (tensile strength, hardness, elastic modulus)
• Electronic properties (band gap, conductivity, dielectric constant)
• Materials characterization (XRD, SEM, TEM, AFM)
• Nanomaterials, thin films, composites, polymers
• Materials databases, high-throughput screening, materials informatics

Step-by-Step Methodology

1. Define the materials question - Specify the material system (elements, compounds), property of interest, and application context (structural, electronic, optical, catalytic).
2. Database search - Query Materials Project, AFLOW, ICSD, or OQMD for known structures and computed properties. Check experimental databases (Springer Materials, NIST) for measured values.
3. Structure analysis - Identify crystal system, space group, and Wyckoff positions. Compute lattice parameters and density. For disordered systems, characterize using pair distribution functions or radial distribution functions.
4. Property evaluation - Retrieve or compute relevant properties: formation energy (thermodynamic stability), band structure (electronic), phonon dispersion (thermal), elastic tensor (mechanical). Compare with target specifications.
5. Phase diagram analysis - Construct or retrieve phase diagrams (binary, ternary). Identify stable phases, invariant reactions (eutectic, peritectic), and solid solutions. Use CALPHAD method for complex systems.
6. Characterization guidance - Recommend appropriate techniques: XRD for crystal structure, SEM/TEM for microstructure, XPS for surface chemistry, DSC for thermal transitions. Specify expected peaks/features.
7. Design recommendations - Suggest composition or processing modifications to achieve target properties. Consider trade-offs between competing properties (strength vs. ductility, conductivity vs. transparency).

Key Databases and Tools

• Materials Project - Computed materials properties (DFT)
• AFLOW - Automatic FLOW for materials discovery
• ICSD - Inorganic Crystal Structure Database
• NIST Materials Data - Experimental property data
• Springer Materials - Curated materials data
• Thermo-Calc / FactSage - CALPHAD thermodynamic modeling

Output Format

• Crystal structures with space group, lattice parameters (in Angstroms), and atomic positions.
• Properties in SI units with comparison to reference values.
• Phase diagrams with labeled phases, invariant points, and temperature/composition axes.
• Characterization predictions (expected XRD peaks with 2-theta and hkl, expected spectral features).

Quality Checklist

• Crystal structure validated against experimental data when available
• Property values compared between computational and experimental sources
• Temperature and pressure conditions specified for all properties
• Appropriate computational method noted (DFT functional, basis set)
• Phase diagram includes metastable phases if relevant
• Synthesis feasibility and processing conditions considered
• Units consistent and clearly stated throughout
• Uncertainty or accuracy of computational predictions discussed