Data-Driven Discovery of Polar Organic Cocrystals: Integration of Machine Learning and Automated Screening
Article Details
Journal Info
Journal of the American Chemical Society
American Chemical Society
Authors (16)
Huiyu Liu
School of Physical Science and Technology
Muyao Yu
School of Physical Science and Technology
Zikai Xie
State Key Laboratory of Precision and Intelligent Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science
Xiangyu Zhang
Yiru Sun
School of Physical Science and Technology
Yuyang Ling
School of Physical Science and Technology
Zezhao Xu
School of Physical Science and Technology
Zidi Wang
School of Physical Science and Technology
Na Yu
State Key Laboratory of Quantum Functional Materials, School of Physical Science and Technology
Yue-Biao Zhang
School of Physical Science and Technology & Shanghai Key Laboratory of High-Resolution Electron Microscopy
Ping Huai
Center for Transformative Science
Qisheng Wang
Shanghai Advanced Research Institute, Chinese Academy of Sciences
Xuming He
School of Information Science and Technology
Linjiang Chen
State Key Laboratory of Precision and Intelligent Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science
Wei-Hong Zhu
Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering
Shan Jiang