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Title: Scaling-Relation-Based Analysis of Bifunctional Catalysis: The Case for Homogeneous Bimetallic Alloys

Journal Article · · ACS Catalysis
ORCiD logo [1]; ORCiD logo [2];  [3];  [4]
  1. Technische Univ. Munchen, Garching (Germany)
  2. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Georgia Inst. of Technology, Atlanta, GA (United States)
  3. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  4. Technische Univ. Munchen, Garching (Germany); Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)

Here, we present a generic analysis of the implications of energetic scaling relations on the possibilities for bifunctional gains at homogeneous bimetallic alloy catalysts. Such catalysts exhibit a large number of interface sites, where second-order reaction steps can involve intermediates adsorbed at different active sites. Using different types of model reaction schemes, we show that such site-coupling reaction steps can provide bifunctional gains that allow for a bimetallic catalyst composed of two individually poor catalyst materials to approach the activity of the optimal monomaterial catalyst. However, bifunctional gains cannot result in activities higher than the activity peak of the monomaterial volcano curve as long as both sites obey similar scaling relations, as is generally the case for bimetallic catalysts. These scaling-relation-imposed limitations could be overcome by combining different classes of materials such as metals and oxides.

Research Organization:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1369413
Journal Information:
ACS Catalysis, Vol. 7, Issue 6; ISSN 2155-5435
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 61 works
Citation information provided by
Web of Science

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CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures journal April 2019
Machine learning for heterogeneous catalyst design and discovery journal May 2018
Ni/NiO Nanocomposites with Rich Oxygen Vacancies as High-Performance Catalysts for Nitrophenol Hydrogenation journal November 2019
The Site-Assembly Determines Catalytic Activity of Nanoparticles journal March 2018
Thermodynamic Limitations of the Catalyst Design Space for Methanol Production from Methane journal October 2018
Valorization of Biomass‐derived Small Oxygenates: Kinetics, Mechanisms and Site Requirements of H 2 ‐involved Hydrogenation and Deoxygenation Pathways over Heterogeneous Catalysts journal February 2019
The Site-Assembly Determines Catalytic Activity of Nanoparticles journal March 2018