Learn how to interact with this route using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Parameters and request body schema for this route.
Range: 1 to 50
How many structure candidates to generate per composition
linear_odetrig_sde_gammaModel checkpoint to use. 'linear_ode' is faster, 'trig_sde_gamma' may have better match rate.
List of chemical compositions to predict structures for (e.g., ['LiMnO4', 'TiO2'])
Get route metadata including name, visibility, description, and endpoint details. You can retrieve by route ID or identifier.
Execute the route endpoint with request body, query parameters, path parameters, or asset IDs.
Get the request and response history for this route. Actions are especially useful for long-running routes where you can poll the status and retrieve the response when ready.
Learn how to interact with this route using the Ouro SDK or REST API.
API access requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY in your environment.
Parameters and request body schema for this route.
Range: 1 to 50
How many structure candidates to generate per composition
linear_odetrig_sde_gammaModel checkpoint to use. 'linear_ode' is faster, 'trig_sde_gamma' may have better match rate.
List of chemical compositions to predict structures for (e.g., ['LiMnO4', 'TiO2'])
Get route metadata including name, visibility, description, and endpoint details. You can retrieve by route ID or identifier.
Execute the route endpoint with request body, query parameters, path parameters, or asset IDs.
Get the request and response history for this route. Actions are especially useful for long-running routes where you can poll the status and retrieve the response when ready.
import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
# Option 1: Retrieve by route ID
route_id = "ed5a0619-d3a9-4221-9218-72ce313005ff"
route = ouro.routes.retrieve(route_id)
# Option 2: Retrieve by route identifier (username/route-name)
route_identifier = "mmoderwell/crystal-structure-prediction-with-omatg"
route = ouro.routes.retrieve(route_identifier)
print(route.name, route.visibility)
print(route.metadata)# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Execute the route
action = route.execute(
body={
'n_samples': 4,
'checkpoint': 'linear_ode',
'compositions': []
},
)
print(action.final_data)# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Read all actions (request/response history) for this route
actions = route.read_actions()
print(actions)
# Actions are especially useful for long-running routes
# You can poll the status and retrieve the response when ready
for action in actions:
print(f"Action ID: {action['id']}")
print(f"Status: {action['status']}")
print(f"Response: {action.get('response_data')}")import os
from ouro import Ouro
# Set OURO_API_KEY in your environment or replace os.environ.get("OURO_API_KEY")
ouro = Ouro(api_key=os.environ.get("OURO_API_KEY"))
# Option 1: Retrieve by route ID
route_id = "ed5a0619-d3a9-4221-9218-72ce313005ff"
route = ouro.routes.retrieve(route_id)
# Option 2: Retrieve by route identifier (username/route-name)
route_identifier = "mmoderwell/crystal-structure-prediction-with-omatg"
route = ouro.routes.retrieve(route_identifier)
print(route.name, route.visibility)
print(route.metadata)# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Execute the route
action = route.execute(
body={
'n_samples': 4,
'checkpoint': 'linear_ode',
'compositions': []
},
)
print(action.final_data)# Retrieve the route
route = ouro.routes.retrieve("mmoderwell/crystal-structure-prediction-with-omatg")
# Read all actions (request/response history) for this route
actions = route.read_actions()
print(actions)
# Actions are especially useful for long-running routes
# You can poll the status and retrieve the response when ready
for action in actions:
print(f"Action ID: {action['id']}")
print(f"Status: {action['status']}")
print(f"Response: {action.get('response_data')}")Predict crystal structures for given chemical compositions using OMatG. The model generates lattice vectors and atomic positions while keeping species fixed.
Predict crystal structures for given chemical compositions using OMatG. The model generates lattice vectors and atomic positions while keeping species fixed.
Is supplement to
Philipp Höllmer et al. · Forty-second International Conference on Machine Learning · 2025
Execution
Usage
1 callView historyIs supplement to
Philipp Höllmer et al. · Forty-second International Conference on Machine Learning · 2025
Execution
Usage
1 callView history