在温和条件下，通过电催化过程实现氮气还原反应产氨是大家一直关心的问题。

Under mild conditions, the realization of nitrogen reduction reaction to produce ammonia through the electrocatalytic process is a problem that everyone has been concerned about. At present, my main research content is to dope metal and N atoms on the graphene substrate as the electrocatalyst active center, and consider it from two aspects: the coordination mechanism between the doping atoms and the substrate and the coordination environment of the doping atoms. The effect on nitrogen fixation properties, and the use of machine learning methods to linearly fit its activity and selectivity to find key descriptors.

Under mild conditions, it is always a concern to achieve ammonia production by nitrogen reduction reaction through electrocatalytic process. At present, my main research content is doped metal on graphene substrate, N atom as the active center of electrocatalyst, from the doped atom and substrate coordination mechanism and doped atom's matching environment to consider its impact on nitrogen fixation properties, and the use of machine learning methods for its activity and selectivity linear fitting, to find out the key descriptors.

Under mild conditions, the reduction of nitrogen to produce ammonia by electrocatalytic process is always concerned. At present, my main research content is doping metal and N atom on graphene substrate as the active center of electrocatalyst, considering the influence on nitrogen fixation properties from two aspects of the coordination mechanism between doped atom and substrate and the coordination environment of doped atom, and using machine learning method to linearly fit its activity and selectivity, to find out the key descriptors.<br>