溶剂化
机制(生物学)
常量(计算机编程)
兴奋剂
化学
催化作用
计算化学
化学物理
物理化学
纳米技术
材料科学
物理
凝聚态物理
有机化学
计算机科学
量子力学
分子
程序设计语言
作者
Penghui Ren,Zhongbao Feng,Yunfeng Zhao,Chunyang Liu,Huixia Li,Ruopeng Li,Xuebo Chen
标识
DOI:10.1016/j.mcat.2024.114119
摘要
The widespread application of S doping in Fe-N-C materials aims to enhance the catalytic activity for oxygen reduction reactions (ORR). However, the current doping strategies are primarily centered on the first coordination layer encompassing Fe atoms. Consequently, this study employs first-principles calculations to compute the formation and binding energies of FeN4 doped with S atom. It further delves into the influence of diverse doping sites on catalyst stability and meticulously analyzes the configurations and corresponding ORR activities of four catalysts, namely FeN4S-N (Number=0∼3), utilizing a constant-potential implicit solvent model to simulate authentic electrocatalytic environments. The findings reveal that under vacuum conditions, FeN4S1 exhibits the utmost ORR activity, boasting a potential of 0.53 V. Conversely, within the constant-potential implicit solvation model, FeN4S2 emerges as the catalyst with the highest ORR activity, achieving a potential of 0.39 V. Therefore, calculations leveraging the constant-potential solvation model offer more realistic insights into catalyst design, thereby guiding the development of superior catalysts.
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