Update README.md

README.md

@@ -6,7 +6,7 @@ pretty_name: CGWGAN
 ---
 
 ## Crystal Generative Framework based on Wyckoff Generative Adversarial Network
-In this study, we present the Crystal Generative framework based on the Wyckoff Generative Adversarial Network (CGWGAN). CGWGAN employs a strategy focused on the generation of crystal templates, effectively masking the occupancy information of elements at specific sites within the crystal.
+In this study, we present the Crystal Generative framework based on the Wyckoff Generative Adversarial Network (CGWGAN)
 
 
 All templates with 3-4 asymmetric units generated in our work are available as open-source resources on the datasets CGWGAN.
@@ -38,13 +38,4 @@ from CryDBkit import website
 website.show('open.db')
 ```
 
-## Contact Information:
-
-Mr. SU Tianhao
-
-Email: thsu0407@gmail.com
-
-Mr. Cao Bin
-
-Email: bcao686@connect.hkust-gz.edu.cn