Benchmarking Orbital-Free Density-Potential Functional Theory of Electrified Metal-Solution Interfaces

The electrical double layer (EDL) at the metal-solution interface is a nanoscale region where quantum mechanical metal electrons meet almost classical electrolyte species. Describing metal electrons with orbital-free density-functional theory (DFT), the recently developed density-potential functional theoretical (DPFT) model constitutes a computationally efficient approach to modeling the EDL. However, the performance of orbital-free DFT is less studied for interfaces than for bulk phases. Herein, we develop a constant-potential Kohn-Sham-Poisson-Boltzmann theory with exact kinetic energy as a benchmark for DPFT models. Solving Kohn-Sham and Poisson-Boltzmann equations self-consistently, we obtain electron density, electrostatic potential, and double-layer capacitance of the EDL, which are then used to assess DPFT models with Thomas-Fermi-von Weizsäcker (TFvW) or Pauli-Gaussian kinetic energy functional. In general, TFvW outperforms the Pauli-Gaussian kinetic energy functional for modeling EDL. In addition, a much smaller gradient coefficient in the TFvW functional than the default value of 5/3 is suggested for modeling the EDL. These findings are instrumental to the future development of orbital-free DFT for electrochemical interfaces.

Authors

Institutions

Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-02-16
DOI
https://doi.org/10.1021/acs.jctc.5c02180
Primary Topic
Iron oxide chemistry and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Benchmarking Orbital-Free Density-Potential Functional Theory of Electrified Metal-Solution Interfaces

X. Wang, chenkun li, Jun Huang, Michael Eikerling
Journal of Chemical Theory and Computation
Iron oxide chemistry and applications
article

Benchmarking Orbital-Free Density-Potential Functional Theory of Electrified Metal-Solution Interfaces

X. Wang, chenkun li, Jun Huang, Michael Eikerling
article en

Abstract

The electrical double layer (EDL) at the metal-solution interface is a nanoscale region where quantum mechanical metal electrons meet almost classical electrolyte species. Describing metal electrons with orbital-free density-functional theory (DFT), the recently developed density-potential functional theoretical (DPFT) model constitutes a computationally efficient approach to modeling the EDL. However, the performance of orbital-free DFT is less studied for interfaces than for bulk phases. Herein, we develop a constant-potential Kohn-Sham-Poisson-Boltzmann theory with exact kinetic energy as a benchmark for DPFT models. Solving Kohn-Sham and Poisson-Boltzmann equations self-consistently, we obtain electron density, electrostatic potential, and double-layer capacitance of the EDL, which are then used to assess DPFT models with Thomas-Fermi-von Weizsäcker (TFvW) or Pauli-Gaussian kinetic energy functional. In general, TFvW outperforms the Pauli-Gaussian kinetic energy functional for modeling EDL. In addition, a much smaller gradient coefficient in the TFvW functional than the default value of 5/3 is suggested for modeling the EDL. These findings are instrumental to the future development of orbital-free DFT for electrochemical interfaces.

Journal of Chemical Theory and ComputationVol. 22(5)
Forschungszentrum Jülich (DE), Energy Research Institute (CN), RWTH Aachen University (DE)
Affordable and clean energy
Openalex Percentile: Top 56%
Iron oxide chemistry and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.