氧气
催化作用
吸附
材料科学
表面电荷
价(化学)
密度泛函理论
从头算
Atom(片上系统)
过渡金属
电荷密度
无机化学
计算化学
物理化学
化学
有机化学
物理
计算机科学
电极
量子力学
嵌入式系统
作者
Wei Liu,Shushan Ye,Le Shi
标识
DOI:10.1021/acsami.4c18032
摘要
The Fe–N–C catalyst, featuring a single-atom Fe–N4 configuration, is regarded as one of the most promising catalytic materials for the oxygen reduction reaction (ORR). However, the significant activity difference under acidic and alkaline conditions of Fe–N–C remains a long-standing puzzle. In this work, using extensive ab initio molecular dynamics (AIMD) simulations, we revealed that pH conditions influence ORR activity by tuning the surface charge density of the Fe–N–C surface, rather than through the direct involvement of H3O+ or OH– ions. The acidic environment, combined with an elevated electrode potential, can result in a highly charged Fe–N–C surface. On this surface, the adsorbed *OH will spontaneously convert to *O and remain stable, accompanied by a change in the valence state of the Fe atom. This phenomenon makes the ORR step from *O to *OH the rate-determining step, thereby significantly reducing the corresponding ORR activity. Under fixed pH conditions and electrode potentials, the surface charge density of Fe–N–C can be tuned by changing the coordination environment of the Fe atom. Further calculations reveal that doping a Co4 cluster near the Fe active center or creating an edge-type Fe–N–C structure can effectively reduce the local charge density around the Fe atom. This reduction hinders the transition of *OH to *O, thereby enhancing ORR activity at a high electrode potential in acidic environments. Our work revealed the underlying explanation of the pH-dependent ORR activity for the Fe–N–C catalyst and sheds light on the future design and synthesis of high-performance Fe–N–C catalysts.
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