Decision tree analysis for efficient CO2 utilization in electrochemical systems
Decision tree analysis for efficient CO2 utilization in electrochemical systems is a scholarly work, published in 2018 in ''Journal of CO2 Utilization''. The main subjects of the publication include chemistry, electrochemistry, formic acid, biological system, ionic liquid, economic production, zinc–carbon battery, environmental science, statistics, volume flow rate, decision tree, electrolyte, mathematics, and computer science. It was found that Cu content smaller than 71% resulted high faradaic efficiencies depending on the amount of Sn, catholyte type, applied potential and pH of electrolyte.