Correcting Errors in the Adsorbed Intermediates of CO <sub>2</sub> Electroreduction

ABSTRACT Density functional theory (DFT) has helped propel the advance of electrocatalysis in the past two decades. In view of its massive use, it is worth asking how reliable DFT is for the prediction of adsorption energies, which are paramount in computational electrocatalysis models. Here, we provide an experimental‐computational approach to break down overall adsorption‐energy errors into separate gas‐phase and adsorbed‐phase contributions. The method is evaluated using experimental data and various exchange‐correlation functionals and materials for C‐ and O‐containing species. Our main conclusion is that no functional is simultaneously accurate for adsorbates and molecules, as adsorbed‐phase errors are visibly different from gas‐phase errors. Importantly, total, gas‐phase, and adsorbed‐phase errors are correlated, revealing intrinsic DFT limitations and enabling the elaboration of swift correction routines. To illustrate the benefits of our approach, we deconvolute and correct all errors in CO 2 electroreduction to CO and find an agreement with experiments close to chemical accuracy for numerous transition‐metal electrodes and all scrutinized functionals.

Authors

Institutions

Publication Details

Journal
Carbon Energy
Published
2025-11-29
DOI
https://doi.org/10.1002/cey2.70128
Primary Topic
CO2 Reduction Techniques and Catalysts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correcting Errors in the Adsorbed Intermediates of CO 2 Electroreduction

Federico Calle‐Vallejo, Santiago Builes, Wei Jie Teh, Boon Siang Yeo et al.
Carbon Energy
CO2 Reduction Techniques and Catalysts
article

Correcting Errors in the Adsorbed Intermediates of CO 2 Electroreduction

Federico Calle‐Vallejo, Santiago Builes, Wei Jie Teh, Boon Siang Yeo, Ricardo Urrego‐Ortiz, Cheng Zhong
article en

Abstract

ABSTRACT Density functional theory (DFT) has helped propel the advance of electrocatalysis in the past two decades. In view of its massive use, it is worth asking how reliable DFT is for the prediction of adsorption energies, which are paramount in computational electrocatalysis models. Here, we provide an experimental‐computational approach to break down overall adsorption‐energy errors into separate gas‐phase and adsorbed‐phase contributions. The method is evaluated using experimental data and various exchange‐correlation functionals and materials for C‐ and O‐containing species. Our main conclusion is that no functional is simultaneously accurate for adsorbates and molecules, as adsorbed‐phase errors are visibly different from gas‐phase errors. Importantly, total, gas‐phase, and adsorbed‐phase errors are correlated, revealing intrinsic DFT limitations and enabling the elaboration of swift correction routines. To illustrate the benefits of our approach, we deconvolute and correct all errors in CO 2 electroreduction to CO and find an agreement with experiments close to chemical accuracy for numerous transition‐metal electrodes and all scrutinized functionals.

Carbon EnergyVol. 8(2)
Ikerbasque (ES), National University of Singapore (SG), European Theoretical Spectroscopy Facility (BE), Universitat de Barcelona (ES), Universidad EAFIT (CO)
U.S. Department of Energy, European Commission, Ministry of Education - Singapore, Eusko Jaurlaritza, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Euskal Herriko Unibertsitatea, Ministry of Education, India, Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona, Office of Science, Agencia Estatal de Investigación, Brookhaven National Laboratory
Openalex Percentile: Top 73%
CO2 Reduction Techniques and Catalysts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.