Add HfO2_NPJ_2020 readme file

README.md

@@ -0,0 +1,36 @@
+---
+configs:
+- config_name: default
+  data_files: "main/*.parquet"
+license: mit
+tags:
+- molecular dynamics
+- mlip
+- interatomic potential
+pretty_name: HfO2 NPJ 2020
+---
+### Cite this dataset  
+Sivaraman, G., Krishnamoorthy, A. N., Baur, M., Holm, C., Stan, M., Csányi, G., Benmore, C., and Vázquez-Mayagoitia, Á. _HfO2 NPJ 2020_. ColabFit, 2023. https://doi.org/10.60732/dcb4440a
+  ### View on the ColabFit Exchange  
+https://materials.colabfit.org/id/DS_u40eq96ge40x_0  
+# Dataset  Name  
+HfO2 NPJ 2020  
+### Description  
+6000 configurations of liquid and amorphous HfO2 generated for use with an active learning ML model.  
+<br>Additional details stored in dataset columns prepended with "dataset_".  
+### Dataset authors  
+Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris Benmore, Álvaro Vázquez-Mayagoitia  
+### Publication  
+https://doi.org/10.1038/s41524-020-00367-7  
+### Original data link 
+https://github.com/argonne-lcf/active-learning-md  
+### License  
+MIT  
+### Number of unique molecular configurations  
+6000  
+### Number of atoms  
+576000  
+### Elements included  
+Hf, O  
+### Properties included  
+energy, atomic forces, cauchy stress