Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime

Chuan Li, Chenghui Wang, Ming Sun, Yan Zeng, Yuan Yuan, Qiaolin Gou, Guangchuan Wang, Yanzhi Guo, Xuemei Pu. Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime. Journal of Chemical Information and Computer Sciences, 62(20):4873-4887, 2022. [doi]

@article{LiWSZYGWGP22,
  title = {Correlated RNN Framework to Quickly Generate Molecules with Desired Properties for Energetic Materials in the Low Data Regime},
  author = {Chuan Li and Chenghui Wang and Ming Sun and Yan Zeng and Yuan Yuan and Qiaolin Gou and Guangchuan Wang and Yanzhi Guo and Xuemei Pu},
  year = {2022},
  doi = {10.1021/acs.jcim.2c00997},
  url = {https://doi.org/10.1021/acs.jcim.2c00997},
  researchr = {https://researchr.org/publication/LiWSZYGWGP22},
  cites = {0},
  citedby = {0},
  journal = {Journal of Chemical Information and Computer Sciences},
  volume = {62},
  number = {20},
  pages = {4873-4887},
}