The role of sub-surface hydrogen on CO2 reduction and dynamics on Ni(110): An ab initio molecular dynamics study

Sarah I. Allec, Manh Thuong Nguyen, Roger Rousseau, Vassiliki Alexandra Glezakou

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The catalytic reduction in carbon dioxide is a crucial step in many chemical industrial reactions, such as methanol synthesis, the reverse water-gas shift reaction, and formic acid synthesis. Here, we investigate the role of bulk hydrogen, where hydrogen atoms are found deep inside a metal surface as opposed to subsurface ones, upon CO2 reduction over a Ni(110) surface using density functional theory and ab initio molecular dynamics simulations. While it has previously been shown that subsurface hydrogen stabilizes CO2 and can aid in overcoming reaction barriers, the role of bulk hydrogen is less studied and thus unknown with regard to CO2 reduction. We find that the presence of bulk hydrogen can significantly alter the electronic structure of the Ni(110) surface, particularly the work function and d-band center, such that CO2 adsorbs more strongly to the surface and is more easily reduced. Our results show an enhanced CO2 dissociation in the presence of bulk hydrogen, shedding light on a hitherto underappreciated mechanistic pathway for CO2 reduction on metal surfaces.

Original languageEnglish
Article number044702
JournalJournal of Chemical Physics
Volume155
Issue number4
DOIs
StatePublished - Jul 28 2021
Externally publishedYes

Funding

This work was supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, U.S. Department of Energy, Award/Contract Number 47319 (Multifunctional Catalysis to Synthesize and Utilize Energy C). The authors acknowledge computer resources through Research Computing (RI) located at Pacific Northwest National Laboratory (PNNL). PNNL is a multiprogram national laboratory operated for the DOE by Battelle under Contract No. DE-AC05-76RL01830. Computational resources were provided by a user proposal at the National Energy Research Scientific Computing Center located at Lawrence Berkeley National Laboratory. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.

FundersFunder number
U.S. Department of Energy
BattelleDE-AC05-76RL01830
Office of ScienceDE-AC02-05CH11231
Basic Energy Sciences
Chemical Sciences, Geosciences, and Biosciences Division47319

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