钴
催化作用
铂金
重组
火山
化学
化学工程
材料科学
纳米技术
地质学
无机化学
业务
地球化学
有机化学
工程类
财务
作者
Wenyao Chen,Yao Shi,Changwei Liu,Zhouhong Ren,Zhigang Huang,Zhou Chen,Xiangxue Zhang,Shanshan Liang,Lei Xie,Cheng Lian,Gang Qian,Jing Zhang,Xi Liu,De Chen,Xinggui Zhou,Weikang Yuan,Xuezhi Duan
标识
DOI:10.1038/s41467-024-53474-0
摘要
Computationally derived volcano curve has become the gold standard in catalysis, whose practical application usually relies on empirical interpretations of composition or size effects by the identical active site assumption. Here, we present a proof-of-concept study on disclosing both the support- and adsorbate-induced restructuring of Pt-Co bimetallic catalysts, and the related interplays among different interfacial sites to propose the synergy-dependent volcano curves. Multiple characterizations, isotopic kinetic investigations, and multiscale simulations unravel that the progressive incorporation of Co into Pt catalysts, driven by strong Pt-C bonding (metal-support interfaces) and Co-O bonding (metal-adsorbate interfaces), initiates the formation of Pt-rich alloys accompanied by isolated Co species, then Co segregation to epitaxial CoOx overlayers and adjacent Co3O4 clusters, and ultimately structural collapse into amorphous alloys. Accordingly, three distinct synergies, involving lattice oxygen redox from Pt-Co alloy/Co3O4 clusters, dual-active sites engineering via Pt-rich alloy/CoOx overlayer, and electron coupling within exposed alloy, are identified and quantified for CO oxidation (gas-phase), ammonia borane hydrolysis (liquid-phase), and hydrogen evolution reaction (electrocatalysis), respectively. The resultant synergy-dependent volcano curves represent an advancement over traditional composition-/size-dependent ones, serving as a bridge between theoretical models and experimental observations in bimetallic catalysis. Volcano curves have become the gold standard in catalyst design. Here, the authors propose synergy-dependent volcano curves by disclosing both support- and adsorbate-induced catalyst restructuring, ideally bridging the gap between theoretical models and experimental observations.
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