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Electrochemical CO2 Reduction: A Classification Problem
- Source :
- ChemPhysChem. 18:3266-3273
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- In this work we propose four non-coupled binding energies of intermediates as descriptors, or 'genes', for predicting the product distribution in CO2 electroreduction. Simple reactions can be understood by the Sabatier principle (catalytic activity vs. one descriptor), while more complex reactions tend to give multiple very different products and consequently the product selectivity is a more complex property to understand. We approach this, as a logistical classification problem, by grouping metals according to their major experimental product from CO2 electroreduction: H2, CO, formic acid and beyond CO* (hydrocarbons or alcohols). We compare the groups in terms of multiple binding energies of intermediates calculated by density functional theory. Here we find three descriptors to explain the grouping: the adsorption energies of H*, COOH* and CO*. To further classify products beyond CO*, we carry out formaldehyde experiments on Cu, Ag and Au and combine these results with the literature to group and differentiate alcohol or hydrocarbon products. We find that the oxygen binding (adsorption energy of CH3O*) is an additional descriptor to explain the alcohol formation in reduction processes. Finally, the adsorption energy of the four intermediates, H*, COOH*, CO* and CH3O*, can be used to differentiate, group and explain products in electrochemical reduction processes involving CO2, CO and carbon-oxygen compounds.
- Subjects :
- Chemistry
Binding energy
Alcohol
02 engineering and technology
Sabatier principle
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Atomic and Molecular Physics, and Optics
Product distribution
0104 chemical sciences
Catalysis
chemistry.chemical_compound
Adsorption
Computational chemistry
Organic chemistry
Density functional theory
Physical and Theoretical Chemistry
0210 nano-technology
Oxygen binding
Subjects
Details
- ISSN :
- 14394235
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- ChemPhysChem
- Accession number :
- edsair.doi...........904f74da6144e61953aa596ae03bdda1
- Full Text :
- https://doi.org/10.1002/cphc.201700736