Related Experiment Video
Updated: Jul 11, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Cyclic voltammograms for H on Pt(111) and Pt(100) from first principles
G S Karlberg1, T F Jaramillo, E Skúlason
1Center for Atomic-Scale Materials Design, Department of Physics, NanoDTU, Technical University of Denmark, DK-2800 Lyngby, Denmark.
Researchers created a direct link between surface science and electrochemistry. Density functional theory calculations now quantitatively predict cyclic voltammetry, advancing electrochemical surface characterization.
Area of Science:
- Electrochemistry
- Surface Science
- Computational Chemistry
Background:
- Cyclic voltammetry is a key technique for analyzing electrochemical surfaces.
- A quantitative link between cyclic voltammetry and ab initio calculations has been missing.
- This gap limits the predictive power of computational methods in electrochemistry.
Purpose of the Study:
- To establish a direct, quantitative relationship between ab initio calculations and cyclic voltammetry.
- To derive cyclic voltammograms from first-principles calculations for specific surface systems.
- To bridge the gap between theoretical surface science and experimental electrochemistry.
Main Methods:
- Utilized density functional theory (DFT) calculations to determine gas phase adsorption energies.
- Employed standard molecular data for thermodynamic considerations.
- Derived cyclic voltammograms based solely on theoretical calculations.
Main Results:
- Successfully derived the cyclic voltammogram for hydrogen on Pt(111) and Pt(100) surfaces.
- Established a direct correlation between gas phase adsorption energy and electrochemical electrode potential.
- Demonstrated the quantitative predictive capability of DFT for electrochemical phenomena.
Conclusions:
- The study provides a novel method to link surface science calculations with experimental electrochemistry.
- This approach enables quantitative prediction of cyclic voltammetry from ab initio data.
- The findings pave the way for more accurate computational modeling of electrochemical systems.
Related Concept Videos
Voltammetric Techniques: Cyclic Voltammetry
Voltammograms: Overview
Shapes of Voltammograms
Aromatic Hydrocarbon Cations: Structural Overview
Removing one hydrogen from the intervening CH2 group with both...
Crystal Field Theory - Octahedral Complexes
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
Voltammetry: Overview
A voltammetric cell uses three electrodes: a working electrode, a reference electrode, and an auxiliary electrode. The redox reactions occur in the working...
Hückel's Rule Diagram of π MOs: Frost Circle
A Frost circle is constructed by drawing a polygon whose number of edges is equal to the number of carbons of the given cyclic system, with one of the vertices pointing down. Then, a circle is drawn enclosing the polygon so that...

