Learn how to interact with this file 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.
Retrieve file
Get file metadata including name, visibility, description, file size, and other asset properties.
import osfrom 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"))file_id = "f05c024a-d064-4df1-bb00-4bae44caa27c"# Retrieve file metadatafile = ouro.files.retrieve(file_id)print(file.name, file.visibility)print(file.metadata)
Read file data
Get a URL to download or embed the file. For private assets, the URL is temporary and will expire after 1 hour.
# Get signed URL to download the filefile_data = file.read_data()print(file_data.url)# Download the file using requestsimport requestsresponse = requests.get(file_data.url)with open('downloaded_file', 'wb') as output_file: output_file.write(response.content)
Update file
Update file metadata (name, description, visibility, etc.) and optionally replace the file data with a new file. Requires write or admin permission.
# Update file metadataupdated = ouro.files.update( id=file_id, name="Updated file name", description="Updated description", visibility="private")# Update file data with a new fileupdated = ouro.files.update( id=file_id, file_path="./new_file.txt")
Delete file
Permanently delete a file from the platform. Requires admin permission. This action cannot be undone.
# Delete a file (requires admin permission)ouro.files.delete(id=file_id)
Calculate energy above the convex hull
file.cif→file.html
2.5k uses
Predict the Curie temperature of a material
file.cif→JSON
2.3k uses
Calculate the estimated raw material cost per kg
file.cif→JSON
1.6k uses
Relax a crystal structure
file.cif→file.cif
1.6k uses
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file.cif→JSON
786 uses
Calculate phonon dispersion and band structure
file.cif→file.png
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file.cif→file.cif
130 uses
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file.cif→JSON
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Estimate ZT and key thermoelectric properties
file.cif→JSON
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Structure relaxation via NequIP-OAM-XL
file.cif→file.cif
31 uses
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file.cif→file.mp4
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file.cif→file.cif
21 uses
Predict energy above the convex hull
file.cif→JSON
20 uses
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file.cif→JSON
20 uses
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file.cif→JSON
17 uses
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file.cif→JSON
16 uses
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file.cif→JSON
14 uses
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file.cif→post
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file.cif→JSON
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file.cif→JSON
8 uses
Synthesis report from CIF file
file.cif→file.html
5 uses
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file.cif→file.png
3 uses
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file.cif→JSON
2 uses
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file.cif→JSON
2 uses
Predict average electron effective mass
file.cif→JSON
1 use
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file.cif→file.html
1 use
Predict HOMO orbital energy (molecules)
file.cif→JSON
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file.cif→JSON
Predict COOH adsorption energy (AGRA)
file.cif→JSON
Predict Voigt bulk modulus
file.cif→JSON
Predict phonon density of states
file.cif→JSON
Predict HOMO-LUMO gap (molecules)
file.cif→JSON
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file.cif→JSON
Predict adsorption energy (OCP 2020, 10k subset)
file.cif→JSON
Predict exfoliation energy for layered materials
file.cif→JSON
Predict zero-point vibrational energy (molecules)
file.cif→JSON
Predict largest cavity diameter (MOFs)
file.cif→JSON
Predict CO₂ adsorption at 5 pressures (MOFs)
file.cif→JSON
Predict electronic DOS at Fermi level
file.cif→JSON
Predict maximum dielectric constant from DFPT
file.cif→JSON
Predict nitrogen adsorption energy (TinNet)
file.cif→JSON
Predict adsorption energy (OCP 2020, 100k subset)
file.cif→JSON
Predict p-type Seebeck coefficient
file.cif→JSON
Predict average hole effective mass
file.cif→JSON
Predict n-type Seebeck coefficient
file.cif→JSON
Predict CHO adsorption energy (AGRA)
file.cif→JSON
Predict spectroscopic limited maximum efficiency
file.cif→JSON
Predict maximum piezoelectric strain coefficient dij
file.cif→JSON
Predict optimal k-point length for DFT convergence
is a user post that contains several data blocks about magnetic anisotropy energy (MAE). The first note (update on 2025-10-31) says earlier MAE values and axis labels were from a faulty model and should be disregarded, with a comment added for updated values.