期刊文献+

Machine-learning-aided Au-based single-atom alloy catalysts discovery for electrochemical NO reduction reaction to NH_(3) 被引量:1

原文传递
导出
摘要 Direct electrochemical conversion of NO to NH_(3)has attracted widespread interest as a green and sustainable strategy for both ammonia synthesis and nitric oxide removal.However,designing efficient catalysts remains challenging due to the complex reaction mechanism and competing side reactions.Single-atom alloy(SAA)catalysts,which increase the atomic efficiency and the chance to tailor the electronic properties of the active center,have become a frontier in this field.Here,we performed a systematic screening of transition metal-doped Au SAAs(denoted as TM/Au,TM=Sc,Ti,V,Cr,Mn,Fe,Co,Ni,Cu,Zn,Ru,Rh,Pd,Ag and Pt)to find potential catalysts for electrochemical NO reduction reaction(NORR)to NH_(3).By employing a four-step screening strategy based on density functional theory(DFT)calculations,Zn/Au SAA has been identified as a promising NORR catalyst due to its superior structural stability,reaction activity and NH_(3)selectivity.The electron-involved steps on Zn/Au are thermodynamically spontaneous,which results in a positive limiting potential(U_(L))of 0.15 V.The preferred NO affinity compared to H adatom demonstrates that Zn/Au can effectively suppress the hydrogen evolution reaction.Machine-learning(ML)investigations were adopted to address the uncertainty between the physicochemical properties of SAAs and the NORR performance.We applied an extreme gradient boosting regression(XGBR)algorithm to predict the limiting potentials in terms of the intrinsic features of the reaction site.The coefficient of determination(R^(2))is 0.97 for the training set and 0.96 for the test set.The electronic structure an alysis combined with a compressed-sensing data-an alytics approach further quantitatively verifies the coeffect of d-band center,charge transfer and the radius of doped TM atoms,i.e.,features with the highest level of importance determined by the XGBR algorithm.This work provides a theoretical understanding of the complex NORR to NH_(3)mechanisms and sheds light on the rational design of SAA catalysts by combining DFT and ML investigations.
出处 《Rare Metals》 SCIE EI CAS CSCD 2024年第11期5813-5822,共10页 稀有金属(英文版)
基金 financially supported by the HeBei Natural Science Foundation(Nos.B2022205029 and B2022205013)。
  • 相关文献

参考文献14

二级参考文献63

共引文献86

同被引文献7

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部