Ammonia is an important precursor of fertilizers and nitrogen compounds, and it is also a potential energy storage medium and alternative fuel for vehicles.
In this era of artificial intelligence, we urgently want to optimize the current material design methods to come up with a more efficient and more accurate closedloop system. The approach requires at least three parts including high-throughput screening, automated synthesis platform, and machine learning algorithms. Fortunately, the techniques mentioned above have been substantial developed. We have introduced the common algorithms of machine learning. Then, several machine learningbased design of carbon-based electrocatalysts are discussed. We tried to illustrate the research norms involving machine learning. Besides, other paper structures and details have been also discussed.
It is challenging to fabricate high-performance degradable plastics that simultaneously possess high mechanical strength, satisfactory water resistance and rapid degradation characteristics in natural environments using biomass resources. In this study,...
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