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Electrode Potential Dependent Differential Capacitance in Electrocatalysis: a Novel, Ab Initio Computational Approach

2025/09/02 by Márton Guba, Guba, Márton, Tibor Höltzl +1
Chemical Engineering · Energy · #Ammonia Synthesis and Nitrogen Reduction #CO2 Reduction Techniques and Catalysts #Chemical Physics (physics.chem-ph) #Electrocatalysts for Energy Conversion #FOS: Physical sciences

paper · pdf · doi:10.48550/arxiv.2509.02318

openalex publication_date 2025/09/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

As interest in nanomaterials grows, ab initio simulations play a crucial role in designing electrochemical catalysts. Electrochemical reactions depend on electrode potential, highlighting the importance of the grand canonical representation, especially when integrated with Density Functional Theory. The Grand Canonical Potential - Kinetics (GCP-K) method is a valuable approach for determining electrocatalytic reaction mechanisms and kinetics rooted in quantum mechanics, relying on assumptions of quadratic free energy dependence on charge and a constant differential capacitance-potential relationship. However, it is known that differential capacitance is potential-dependent in several practical electrocatalysts. Here we present μ-GCP-K, a practical approach which makes no assumptions about the relationships between thermodynamic and electrochemical properties. We demonstrate the method's efficiency by computing the surface charge density and differential capacitance of graphene, further emphasizing the importance of accurately calculating the thermodynamic stability of reaction intermediates in carbon dioxide electroreduction, while also showing the role of potential-dependent differential capacitance.

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