设计高效的电催化剂，在温和条件下电催化氮气还原产氨，在满足人们生活需求

Design an efficient electrocatalyst to electrocatalyze the reduction of nitrogen to produce ammonia under mild conditions, which can reduce greenhouse gas emissions while meeting people's daily needs. 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.

Design efficient electrocatalysts to reduce ammonia production by electrocatalytic nitrogen under mild conditions, while meeting people's living needs while reducing greenhouse gas emissions. 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.

The design of efficient electrocatalyst can reduce nitrogen to produce ammonia under mild conditions, which can not only meet the needs of people's life, but also reduce greenhouse gas emissions. 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>