5mo
Python SDK requires an API key. Create one in Settings → API Keys, then set OURO_API_KEY.
python
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"))
file_id = "794239ce-9e87-4de4-96e0-12f4460008ba"
# Retrieve file metadata and signed URL
f = ouro.files.retrieve(file_id)
print(f.name, f.visibility)
data = f.read_data() # fetches signed URL
print(data.url)Magnetocrystalline anisotropy energy dataset with CIFs
~1900 materials collected from NovoMag and Novamag datasets, cleaned CSV with CIF file and MAE value.
ZIP file includes:
folder of CIFs
a
CSVfile mapping CIF file names to:chemical_formulacif_file(file name to be matched with cifs/ folder)source(novomag, novamag)magnetic_anisotropy_energy
There are only 1900 materials here is because NovoMag doesn't all include MAE predictions for all ~3800 materials.
Building a magnetocrystalline anisotropy energy model, attempt 1
postLike our work on Curie temperature, the effort here is to build a machine learning model that can take a crystal structure and predict its magnetocrystalline anisotropy energy. Relevant for permanent
5mo
1 reference
Loading compatible actions...
Loading comments...