Predict and characterize properties of a coordination complex (geometry, spin state, ligand-field splitting, stability trends) by building the complex, assigning oxidation/spin states, and computing electronic descriptors with Paramus QM/ML tools.When to use: a user asks about a metal complex's geometry, spin state, or relative stability.Multi-tool WORKFLOW with coordination-chemistry judgment.
Paramus — Coordination Complex Properties
Overview
Build a metal complex, assign oxidation/spin state, and compute geometry and electronic descriptors. The value is the assembled coordination-chemistry picture, not one calculation.
Guidance vs execution: geometries and electronic properties come from tested Paramus tools. Do not guess spin states or splittings from memory.
When to Use
- Characterizing a coordination complex's geometry/spin/electronic structure
- Comparing ligand effects or relative complex stability Do not use for: extended-solid band structure (use the semiconductor/bandgap screen).
Workflow
Metal + ligands + oxidation state (or "determine")
↓ 1. Build complex & validate → coordination geometry enumeration
↓ 2. Assign spin/oxidation states → candidate states to evaluate
↓ 3. Optimize / single point → Paramus QM engine per state
↓ 4. Electronic descriptors → splitting, HOMO-LUMO, charges
↓ 5. Report → preferred geometry/spin + descriptors + provenance
Procedure
- Discover tools via
search/get_schema("geometry optimization", "spin state", "QM single point"). - Build candidate geometries and enumerate plausible spin states.
- Compute energies per state with provenance; identify the ground state.
- Extract ligand-field splitting, frontier orbitals, and charges.
- Report the preferred geometry/spin state and descriptors, with confidence and method.
Domain Judgment
- Spin-state ordering is method-sensitive (esp. DFT functional) — report the method and caveat it.
- Compare states on the same method/basis, or the ordering is meaningless.
- Note when multiple states are near-degenerate (spin-crossover candidates).
Fallbacks
- QM engine unavailable → provide geometry/ligand-field qualitative analysis, clearly scoped.
- Endpoint unreachable → stop and report; no local electronic-structure estimates.
Tools this skill may use
Candidate deterministic tools an agent is likely to route to when running this skill. The skill decides which to call at runtime.
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Brain HPC Orca Single Point
Quantum ChemistryRun ORCA single point energy calculation. Computes electronic energy, molecular orbitals, and properties at a fixed geometry using DFT, HF, MP2, or CCSD methods. -
Brain HPC Orca Optimize
Quantum ChemistryRun ORCA geometry optimization. Finds the minimum energy molecular structure using gradient-based optimization with various QM methods. -
Brain HPC Orca Tddft
Quantum ChemistryTime-dependent DFT excited state calculations -
Brain HPC Orca Dipole
Quantum ChemistryCalculate dipole moment with ORCA
Browse the full deterministic layer in the tool browser.
Used in these use cases
Customer scenarios that orchestrate this skill end-to-end.