docs: add credits to README (#33)

README.md

@@ -12,6 +12,14 @@ Supported packages and models include:
 After [installing the plugin](#installation), you can train the GNN models using DeePMD-kit, run active learning cycles for the GNN models using [DP-GEN](https://github.com/deepmodeling/dpgen), perform simulations with the MACE model using molecular dynamic packages supported by DeePMD-kit, such as [LAMMPS](https://github.com/lammps/lammps) and [AMBER](https://ambermd.org/).
 You can follow [DeePMD-kit documentation](https://docs.deepmodeling.com/projects/deepmd/en/latest/) to train the GNN models using its PyTorch backend, after using the specific [model parameters](#parameters).
 
+## Credits
+
+If you use this software, please cite the following unpublish paper:
+
+- Jinzhe Zeng, Timothy J. Giese, Duo Zhang, Han Wang, Darrin M. York, DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials, unpublished.
+
+We will update the credit information once it is published.
+
 ## Installation
 
 First, clone this repository: