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Circumventing the Theoretical Scaling Relation Limit for the Oxygen Evolution Reaction
Peijia Ding1, Yufeng Xue1, Ziwei Chai2
1School of Physics, Beihang University, Beijing 100191, People's Republic of China.
The Journal of Physical Chemistry Letters
|March 6, 2024
Summary
Doping nickel transition metal (oxy)hydroxides with various elements influences their efficiency as oxygen evolution reaction electrocatalysts. The study identifies a descriptor to predict favored reaction mechanisms, aiding catalyst design.
Area of Science:
- Materials Science
- Electrochemistry
- Computational Chemistry
Background:
- Transition metal (oxy)hydroxides (TMHs) are promising electrocatalysts for the oxygen evolution reaction (OER) in alkaline media.
- Existing scaling relations limit OER catalyst performance, necessitating new descriptors for optimization.
- Understanding the interplay between dopants and OER mechanisms is crucial for designing efficient catalysts.
Purpose of the Study:
- To investigate the impact of various electron dopants (s, p, and d orbitals) on Ni-based TMHs for OER.
- To identify reliable descriptors that can predict and circumvent the OER scaling relation limitations.
- To determine the energetic favorability of the adsorbate evolution mechanism (AEM) versus the lattice oxygen-mediated mechanism (LOM).
Main Methods:
- Employed first-principles calculations to quantify the effects of dopants on OER overpotential.
- Examined both the adsorbate evolution mechanism (AEM) and the lattice oxygen-mediated mechanism (LOM).
- Analyzed the formation energy of oxygen vacancies (EV) and its correlation with dopant properties.
Main Results:
- Dopant identity significantly influences the formation energy of oxygen vacancies (EV) in Ni-based TMHs.
- A clear linear relationship was established between EV and the free energy difference for oxygen-oxygen coupling.
- A predictive descriptor was identified to distinguish between the energetic preference for LOM over AEM.
Conclusions:
- The formation energy of oxygen vacancies serves as a computationally light descriptor for OER mechanism prediction in doped TMHs.
- These findings provide a pathway to rationally design improved electrocatalysts by circumventing scaling relation limits.
- The identified descriptor aids in selecting optimal dopants for enhancing OER performance via the LOM.
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