Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang 0005. Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LiuDLLZDMYABCG023,
  title = {Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials},
  author = {Shengchao Liu and Weitao Du and Yanjing Li and Zhuoxinran Li and Zhiling Zheng and Chenru Duan and Zhi-Ming Ma and Omar Yaghi and Animashree Anandkumar and Christian Borgs and Jennifer T. Chayes and Hongyu Guo and Jian Tang 0005},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/d07379f3acf3af51dfc8598862cadfa0-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/LiuDLLZDMYABCG023},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}