Harnessing the electronic structure of active metals to lower the overpotential of the electrocatalytic oxygen evolution reaction.
Lorenzo BaldinelliGabriel Menendez RodriguezIolanda D'AmbrosioAmalia Malina GrigorasRiccardo VivaniLoredana LatteriniAlceo MacchioniFilippo De AngelisGiovanni BistoniPublished in: Chemical science (2023)
Despite substantial advancements in the field of the electrocatalytic oxygen evolution reaction (OER), the efficiency of earth-abundant electrocatalysts remains far from ideal. The difficulty stems from the complex nature of the catalytic system, which limits our fundamental understanding of the process and thus the possibility of a rational improvement of performance. Herein, we shed light on the role played by the tunable 3d configuration of the metal centers in determining the OER catalytic activity by combining electrochemical and spectroscopic measurements with an experimentally validated computational protocol. One-dimensional coordination polymers based on Fe, Co and Ni held together by an oxonato linker were selected as a case study because of their well-defined electronic and geometric structure in the active site, which can be straightforwardly correlated with their catalytic activity. Novel heterobimetallic coordination polymers were also considered, in order to shed light on the cooperativity effects of different metals. Our results demonstrate the fundamental importance of electronic structure effects such as metal spin and oxidation state evolutions along the reaction profile to modulate ligand binding energies and increase catalyst efficiency. We demonstrated that these effects could in principle be exploited to reduce the overpotential of the electrocatalytic OER below its theoretical limit, and we provide basic principles for the development of coordination polymers with a tailored electronic structure and activity.
Keyphrases
- metal organic framework
- reduced graphene oxide
- gold nanoparticles
- electron transfer
- ionic liquid
- room temperature
- randomized controlled trial
- human health
- density functional theory
- health risk
- machine learning
- nitric oxide
- single molecule
- mass spectrometry
- hydrogen peroxide
- big data
- molecular dynamics simulations
- artificial intelligence
- molecularly imprinted
- heavy metals
- liquid chromatography