催化作用
电催化剂
材料科学
缩放比例
氨生产
氧化还原
共价键
电化学
二进制数
密度泛函理论
过渡金属
化学物理
纳米技术
组合化学
计算化学
化学
物理化学
数学
电极
有机化学
冶金
几何学
算术
作者
Cooper R. Tezak,Sophie Gerits,Brent D. Rich,Christopher Sutton,Nicholas R. Singstock,Charles B. Musgrave
标识
DOI:10.1002/aenm.202304559
摘要
Abstract The electrochemical nitrogen reduction reaction (NRR) has the potential to decarbonize industrial ammonia production. However, NRR has poor activity and selectivity versus the competing hydrogen evolution reaction for catalysts that adhere to scaling relations. Overcoming the limitations imposed by scaling relations requires more complex catalyst materials, however, evaluating materials beyond simple metal systems is a large combinatorial problem that requires an improved understanding of the electrocatalyst surface to rationally guide the discovery of superior catalysts. The study uses grand canonical density functional theory to uncover NRR trends on a large and disparate set of binary covalent alloys (BCA) with variable compositions and active‐site geometries. The studied BCAs generally follow scaling relations, albeit with larger variance and several systems that significantly break scaling. BCAs with early‐ to mid‐transition metals tend to lie near the volcano peak and activate the N 2 triple bond via a side‐on binding configuration. Trends in the BCA space cannot be readily predicted using simple electronic descriptors, which is ascribed to the large geometric variability of the BCA surfaces. It is anticipated that these findings will provide a foundation for the rational design of superior NRR electrocatalysts with increasing material complexity.
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