Catalysis Hub GraphQL API Guide
SkillDev toolsQuery computational catalysis reaction data via Catalysis Hub GraphQL
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The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/domains/chemistry/catalysis-hub-api/SKILL.md and read by ahel’s review.
Overview
Catalysis Hub is an open-access database of DFT-calculated reaction energies and activation barriers for heterogeneous catalysis, developed at SUNCAT Center (Stanford/SLAC). It aggregates computational results from published studies, enabling researchers to search, compare, and reuse DFT data for catalyst screening and mechanism validation.
The GraphQL endpoint provides structured access to reactions, publications, and atomic structures. All data is linked to peer-reviewed publications and includes computational details (DFT code, XC functional, surface facet, coverage).
Authentication
No authentication required. Catalysis Hub is a free public service with no API keys.
GraphQL Schema
Endpoint: https://api.catalysis-hub.org/graphql
All queries use HTTP POST with a JSON query field. Responses follow the Relay connection pattern (edges/node).
Root Query Types
| Query | Description |
|---|---|
reactions | DFT-computed reaction energies and barriers |
publications | Published studies linked to reaction data |
systems | Atomic structure data (ASE Atoms objects) |
species | Chemical species involved in reactions |
Reaction Fields
chemicalComposition, surfaceComposition, facet, reactionEnergy (eV), activationEnergy (eV), dftCode (e.g. Quantum-Espresso, VASP-5.4.4), dftFunctional (e.g. RPBE), reactants (JSON), products (JSON), Equation (e.g. 0.5O2(g) + * -> O*)
Publication Fields
title, authors (JSON), journal, year (Int), doi, reactions (linked Reaction list)
Core Queries
List Reactions
curl -s -X POST "https://api.catalysis-hub.org/graphql" \
-H "Content-Type: application/json" -d '{"query":"{ reactions(first: 3) { edges { node { chemicalComposition reactionEnergy activationEnergy surfaceComposition } } } }"}'
Response (truncated):
{"data":{"reactions":{"edges":[
{"node":{"chemicalComposition":"Nb9Sn3","reactionEnergy":-9.687,"activationEnergy":null,"surfaceComposition":"Nb3Sn"}},
{"node":{"chemicalComposition":"Ir3V9","reactionEnergy":-8.395,"activationEnergy":null,"surfaceComposition":"V3Ir"}},
{"node":{"chemicalComposition":"Ir9Ni3","reactionEnergy":-2.005,"activationEnergy":null,"surfaceComposition":"Ir3Ni"}}
]}}}
Filter by Surface Composition
curl -s -X POST "https://api.catalysis-hub.org/graphql" \
-H "Content-Type: application/json" -d '{"query":"{ reactions(first: 2, surfaceComposition: \"Pt\") { edges { node { chemicalComposition surfaceComposition facet reactionEnergy dftCode dftFunctional Equation } } } }"}'
Response (truncated):
{"data":{"reactions":{"edges":[
{"node":{"chemicalComposition":"Pt28","surfaceComposition":"Pt","facet":"100","reactionEnergy":0.856,"dftCode":"Quantum-Espresso","dftFunctional":"RPBE","Equation":"0.5N2(g) + * -> N*"}},
{"node":{"chemicalComposition":"Pt28","surfaceComposition":"Pt","facet":"100","reactionEnergy":-0.984,"dftCode":"Quantum-Espresso","dftFunctional":"RPBE","Equation":"0.5O2(g) + * -> O*"}}
]}}}
Search by Chemical Composition (partial match with ~ prefix)
curl -s -X POST "https://api.catalysis-hub.org/graphql" \
-H "Content-Type: application/json" -d '{"query":"{ reactions(first: 3, chemicalComposition: \"~CO\") { edges { node { chemicalComposition reactionEnergy dftCode } } } }"}'
Response (truncated):
{"data":{"reactions":{"edges":[
{"node":{"chemicalComposition":"Co9Cr2FeMnNiO20","reactionEnergy":1.910,"dftCode":"VASP-5.4.4"}},
{"node":{"chemicalComposition":"Co9Cr2FeMnNiO20","reactionEnergy":0.648,"dftCode":"VASP-5.4.4"}},
{"node":{"chemicalComposition":"Co10CrFeMnNiO20","reactionEnergy":3.167,"dftCode":"VASP-5.4.4"}}
]}}}
Query Publications
curl -s -X POST "https://api.catalysis-hub.org/graphql" \
-H "Content-Type: application/json" -d '{"query":"{ publications(first: 2, year: 2019) { edges { node { title authors journal year doi } } } }"}'
Response (truncated):
{"data":{"publications":{"edges":[
{"node":{"title":"High-Throughput Calculations of Catalytic Properties of Bimetallic Alloy Surfaces","authors":"[\"Mamun, Osman\",\"Winther, Kirsten T.\",\"Boes, Jacob R.\",\"Bligaard, Thomas\"]","journal":"Scientific Data","year":2019,"doi":"10.1038/s41597-019-0080-z"}},
{"node":{"title":"Selective high-temperature CO2 electrolysis enabled by oxidized carbon intermediates","journal":"Nature Energy","year":2019,"doi":"10.1038/s41560-019-0457-4"}}
]}}}
Rate Limits
- No documented rate limits; add 200-500ms delays between requests as courtesy
- Use
firstto limit results; pagination via cursor-basedafterargument
Academic Use Cases
- Catalyst Screening: Compare adsorption energies across bimetallic alloy surfaces to identify candidates for target reactions (ORR, NRR, HER)
- DFT Validation: Cross-reference your DFT results against published values matched by surface, facet, and functional
- Scaling Relations: Retrieve adsorption energies across surfaces to build Bronsted-Evans-Polanyi (BEP) relations
- Literature Discovery: Find publications by year or linked reactions for citation and methodology verification
Python Example
import requests
ENDPOINT = "https://api.catalysis-hub.org/graphql"
def query_catalysis_hub(query):
"""Execute a GraphQL query against Catalysis Hub."""
resp = requests.post(ENDPOINT, json={"query": query})
resp.raise_for_status()
return resp.json()["data"]
# Screen adsorption energies on Pt surfaces
data = query_catalysis_hub("""
{
reactions(first: 20, surfaceComposition: "Pt") {
edges { node { Equation facet reactionEnergy dftFunctional } }
}
}
""")
for edge in data["reactions"]["edges"]:
r = edge["node"]
print(f"{r['Equation']:<30} facet={r['facet']} E={r['reactionEnergy']:+.3f} eV")
# Publications with linked reactions
pubs = query_catalysis_hub("""
{
publications(first: 5, year: 2019) {
edges { node { title doi reactions { surfaceComposition Equation } } }
}
}
""")
for edge in pubs["publications"]["edges"]:
pub = edge["node"]
print(f"{pub['title']} | DOI: {pub['doi']} | {len(pub.get('reactions') or [])} reactions")
References
- Catalysis Hub: https://www.catalysis-hub.org
- GraphQL Endpoint: https://api.catalysis-hub.org/graphql
- Winther et al., "Catalysis-Hub.org: An Open Electronic Structure Database for Surface Reactions," Sci. Data 6, 75 (2019). DOI: 10.1038/s41597-019-0081-y
- SUNCAT Center: https://suncat.stanford.edu
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
catalysis-hub-api- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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