Query computational catalysis reaction data via Catalysis Hub GraphQL
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).
No authentication required. Catalysis Hub is a free public service with no API keys.
Endpoint: https://api.catalysis-hub.org/graphql
All queries use HTTP POST with a JSON query field. Responses follow the Relay connection pattern (/).
edgesnode| 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 |
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*)
title, authors (JSON), journal, year (Int), doi, reactions (linked Reaction list)
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"}}
]}}}
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*"}}
]}}}
~ 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"}}
]}}}
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"}}
]}}}
first to limit results; pagination via cursor-based after argumentimport 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")