PolyGrammar: Grammar for Digital Polymer Representation and Generation
1 MIT
Advanced Science 2022
Abstract
A formal grammar specifically designed for the polymers, providing a concise, explicit, and robust representation for any polymer within a given class. This project serves as a foundational blueprint for constructing general chemical design models, with closely integrated representation and generative capabilities.
Acknowledgements
The authors would like to thank Dr. Xingcai Zhang and Dr. Ming Xiao from Harvard University, and Dr. Pengfei Zhang from Qingdao University for their helpful comments.
Citation
@article{Guo21_Polygrammar,
author= {Guo, Minghao and Shou, Wan and Makatura, Liane and Erps, Timothy and Foshey, Michael and Matusik, Wojciech},
title = {PolyGrammar: Grammar for Digital Polymer Representation and Generation},
publisher = {Advanced Science},
year= {2022},
pages = {},
}