Combinatorial Substitution
SkillSearchCombinatorial substitution systematically replaces elements at specified sites across multiple groups, generating all combinations for materials discovery. Unlike simple doping (which replaces one element with another), this tool creates the full Cartesian product of substitutions across groups.
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Then ask your AI: use the Combinatorial Substitution skill
About this capability
Use when the user asks for systematic element substitution, combinatorial materials screening, high-throughput composition search, or multi-site replacement across different element groups.
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in server/catgo/workflow/skills/structure/substitution/SKILL.md and read by ahel’s review.
Overview
Combinatorial substitution systematically replaces elements at specified sites across multiple groups, generating all combinations for materials discovery. Unlike simple doping (which replaces one element with another), this tool creates the full Cartesian product of substitutions across groups.
Common applications:
- High-entropy alloy screening: test multiple elements at different sublattices
- Perovskite composition search: vary A-site and B-site cations independently
- Catalyst optimization: systematic dopant combinations
- Battery cathode design: screen transition metals at different Wyckoff sites
MCP Tool: catgo_substitution
{"tool": "catgo_substitution", "arguments": {
"structure": "<current structure dict>",
"groups": [
{
"target_indices": [0, 4, 8],
"replacement_elements": ["Ti", "Zr", "Hf"]
},
{
"target_indices": [1, 5, 9],
"replacement_elements": ["Mn", "Fe", "Co"]
}
],
"max_structures": 500
}}
| Parameter | Description | Default |
|---|---|---|
structure | Input structure dict | (required) |
groups | Array of substitution groups | (required) |
groups[].target_indices | Site indices to substitute in this group | (required) |
groups[].replacement_elements | Elements to try at these sites | (required) |
max_structures | Safety cap on total combinations | 500 |
Total structures = product of replacement options per group. For the example above: 3 (group 1) x 3 (group 2) = 9 structures.
Router: /build/substitution (POST)
Combinatorics
The tool generates the Cartesian product across groups. Within each group, all target sites receive the same element for a given combination.
| Groups | Elements per Group | Total Structures |
|---|---|---|
| 1 group, 5 elements | 5 | 5 |
| 2 groups, 3 each | 3 x 3 | 9 |
| 2 groups, 5 each | 5 x 5 | 25 |
| 3 groups, 4 each | 4 x 4 x 4 | 64 |
| 3 groups, 6 each | 6 x 6 x 6 | 216 |
The max_structures cap (default 500) prevents accidental generation of
extremely large sets.
Complete Workflow: Perovskite ABO3 Screening
Step 1: Fetch a reference perovskite
{"tool": "catgo_fetch", "arguments": {
"action": "crystal", "formula": "SrTiO3", "source": "mp"
}}
Step 2: Identify site indices
{"tool": "catgo_view", "arguments": {"action": "get_state"}}
Identify A-site (Sr) and B-site (Ti) atom indices from the structure.
Step 3: Generate all A/B combinations
{"tool": "catgo_substitution", "arguments": {
"groups": [
{
"target_indices": [0],
"replacement_elements": ["Sr", "Ba", "Ca", "La"]
},
{
"target_indices": [1],
"replacement_elements": ["Ti", "Zr", "Hf", "Mn", "Fe"]
}
]
}}
This generates 4 x 5 = 20 perovskite compositions: SrTiO3, SrZrO3, BaTiO3, LaFeO3, etc.
Step 4: Screen with MLP, then refine with DFT
For 20 structures, use a two-stage workflow:
{"tool": "catgo_workflow_engine", "arguments": {
"action": "create", "params": {"name": "Perovskite ABO3 screening"}
}}
First relax all candidates with an ML potential:
{"tool": "catgo_workflow_engine", "arguments": {
"action": "add_task", "params": {
"workflow_id": "<wf_id>",
"task_type": "geo_opt",
"params": {"software": "mlp", "mlp_model": "mace",
"system_name": "perovskite-screen-mlp"}
}
}}
Then run DFT on the most promising candidates.
Difference from Doping (catgo_structure action: doping)
| Feature | Doping | Combinatorial Substitution |
|---|---|---|
| Purpose | Replace one element with another | Screen multiple compositions |
| Output | 1 structure (or enumerated configs) | N structures (Cartesian product) |
| Groups | Single host/dopant pair | Multiple independent groups |
| MCP tool | catgo_structure(action: doping) | catgo_substitution |
| Use case | Targeted modification | Systematic screening |
Use doping when you want to modify a single structure. Use substitution when you want to generate a library of compositions.
Common Pitfalls
- Always check site indices with
catgo_viewbefore substituting. Atom indices depend on the specific structure and may change after supercell expansion or slab generation. - The Cartesian product can grow rapidly. 4 groups x 6 elements each =
1296 structures. Use
max_structuresto cap output. - All sites within a group receive the same element in each combination. If you need different elements at different sites within the same group, split them into separate groups.
- Generated structures are unrelaxed. The substituted atoms keep the original positions. Always run geometry optimization before comparing energies.
- For transition metal substitutions in oxides, enable spin polarization (ISPIN=2) and consider DFT+U corrections.
- Charge neutrality is not enforced. Substituting Ca2+ for La3+ requires compensating defects or a charged cell.
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
ahel recommends instead
Advanced
- Catalog kind
- skill
- Gateway key
combinatorial-substitution-hello-qm- Source
- github.com/hello-qm/catgo-lrg