Scenario
A mixed-metal-oxide (MMO) electrode coating — an Ir/Ti rutile solid solution on a substrate — must be characterised: confirm that iridium has incorporated into the rutile TiO₂ lattice and assess phase purity against a measured XRD pattern.
Agent workflow
- Recipe inventory — read the coating recipe and summarise composition, substrate, calcination temperature, and intended duty.
- Reference lookup — retrieve rutile IrO₂ and rutile TiO₂ from the Materials Project (material ID, space group, lattice parameters a and c, formation energy per atom).
- Doped-structure estimate — build rutile TiO₂ (P4₂/mnm) and, via Vegard's law between TiO₂ and IrO₂, estimate the lattice parameters of the Ir₀.₃Ti₀.₇O₂ solid solution.
- XRD comparison — calculate the powder XRD pattern (Cu K-α) for rutile TiO₂, list the five strongest reflections (hkl, 2θ), then compare to the measured coating pattern and state whether the peak shifts are consistent with Ir incorporation.
- Report — write a short report with composition, reference lattice parameters, the Vegard estimate, the measured-versus-calculated peak table, and a one-line conclusion on phase purity.
Demo output
A concise report: reference lattice parameters, the Vegard estimate for the solid solution, a measured-versus-calculated XRD peak table, and a phase-purity conclusion — every value traceable to a reference or a calculation.
Deterministic vs LLM
- Deterministic — lattice math, Vegard's-law interpolation, and XRD peak calculation.
- LLM — orchestrating the workflow and writing the report.
Data sources
- Native (offline): pymatgen crystal-structure tools and XRD calculation.
- Public reference layer: the Materials Project (reference structures and formation energies).
Limits
Vegard's law is a linear approximation; real solid solutions deviate. The XRD comparison establishes consistency with Ir incorporation, not a quantitative dopant fraction without refinement.
Skills orchestrated by this use case
This scenario routes an AI agent through the following curated skills.
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Crystal Structure Analysis
Material ScienceAnalyze a crystal structure (from CIF or generated) by parsing the cell, identifying symmetry/space group, computing coordination environments and geometric descriptors, and summarizing structural features using Paramus materials tools.When to use: a user provides a structure and asks about symmetry, coordination, density, or packing.Multi-tool WORKFLOW with crystallography judgment. -
Catalyst Candidate Screen
Material ScienceScreen candidate catalysts (metal + ligand/support combinations) for a target reaction by featurizing candidates, predicting relevant descriptors (binding energies, electronic descriptors) with Paramus models/engines, and ranking by predicted activity/selectivity proxies.When to use: a user asks “which catalyst candidate should I try for reaction X?”.Multi-tool WORKFLOW with catalysis judgment.
Tools it reaches for
- Materials Project structure lookup
- Rutile crystal structure builder & symmetry analysis
- Powder XRD pattern calculation (Cu K-alpha)
Browse the full deterministic layer in the tool browser.