电合成
电解质
Boosting(机器学习)
多元统计
锂(药物)
氨
材料科学
化学
计算机科学
电化学
医学
内科学
人工智能
电极
机器学习
生物化学
物理化学
作者
Anna Mangini,Jon Bjarke Valbæk Mygind,Sara Garcia Ballesteros,Alessandro Pedico,Marco Armandi,Ib Chorkendorff,Federico Bella
出处
期刊:Angewandte Chemie
[Wiley]
日期:2025-01-17
卷期号:64 (8): e202416027-e202416027
被引量:34
标识
DOI:10.1002/anie.202416027
摘要
Abstract Ammonia electrosynthesis through the lithium‐mediated approach has recently reached promising results towards high activity and selectivity in aprotic media, reaching high Faradaic efficiency (FE) values and NH 3 production rates. To fasten the comprehension and optimization of the complex lithium‐mediated nitrogen reduction system, for the first time a multivariate approach is proposed as a powerful tool to reduce the number of experiments in comparison with the classical one‐factor‐at‐a‐time approach. Doehlert design and surface response methodology are employed to optimize the electrolyte composition for a batch autoclaved cell. The method is validated with the common LiBF 4 salt, and the correlations between the FE and the amount of lithium salt and ethanol as proton donor are elucidated, also discussing their impact on the solid electrolyte interphase (SEI) layer. Moreover, a new fluorinated salt is proposed (i.e., lithium difluoro(oxalate) borate (LiFOB)), taking inspiration from lithium batteries. This salt is chosen to tailor the SEI layer, with the aim of obtaining a bifunctional interfacial layer, both stable and permeable to N 2 , the latter being an essential characteristic for batch systems. The SEI layer composition is confirmed strategic and its tailoring with LiFOB boosts FE values.
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