Machine learning-assisted Ru-N bond regulation for ammonia synthesis
Article Details
Authors (16)
Zichuang Li
Mingxin Zhang
State Key Laboratory of Quantum Functional Materials, School of Physical Science and Technology
Xiaozhi Su
Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute
Yangfan Lu
College of Materials Science and Engineering, National Engineering Research Center for Mg Alloys, National Key Laboratory of Advanced Casting Technologies, National Innovation Center for Industry-Education Integration of Energy Storage Technology
Jiang Li
State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica
Qing Zhang
Wenqian Li
Kailong Qian
Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering
Xiaojun Lu
Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering
Bo Dai
Frontiers Science Center for Transformative Molecules, State Key Laboratory of Polyolefins and Catalysis, School of Chemistry and Chemical Engineering, Zhangjiang Institute for Advanced Study
Hideo Hosono
National Institute for Materials Science (NIMS)
Yanpeng Qi
School of Physical Science and Technology, Shanghai Tech Laboratory for Topological Physics
Miao Xu
Renzhong Tai
Jie-Sheng Chen
Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering
Tian-Nan Ye