电合成
背景(考古学)
工艺工程
电催化剂
计算机科学
电化学
软件部署
可再生能源
纳米技术
材料科学
化学
电极
电气工程
工程类
生物
操作系统
物理化学
古生物学
作者
Daniela E. Blanco,Bryan Lee,Miguel A. Modestino
标识
DOI:10.26434/chemrxiv.8091155.v1
摘要
Organic electrocatalysis can transform the chemical industry by introducing new, electricity-driven processes that are more energy efficient and that can be easily integrated with renewable energy sources. However, their deployment is severely hindered by the difficulties of controlling selectivity and achieving a large energy conversion efficiency at high current density, due to the low solubility of organic reactants in practical electrolytes. This control can be improved by carefully balancing the mass transport processes and electrocatalytic reaction rates at the electrode diffusion layer through pulsed electrochemical methods. In this study, we explore these methods in the context of the electrosynthesis of adiponitrile, the largest organic electrochemical process in industry. Systematically exploring voltage pulses in the timescale between 5-150 ms, led to a 20% increase in production of ADN and a 250% increase in relative selectivity with respect to the state-of-the-art constant voltage process. Moreover, combining this systematic experimental investigation with artificial intelligence (AI) tools allowed us to rapidly discover drastically improved electrosynthetic conditions, reaching improvements of 30% and 325% in ADN production rates and selectivity, respectively. This powerful AI-enhanced experimental approach represents a new paradigm in electrocatalysis research that can accelerate the deployment of electrochemical manufacturing processes.
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