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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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fxdgm: A nonlinear, mixed finite element solver for the DGM electrolyte model

Authors: Habscheid, Jan; Singh, Satyvir; Theisen, Lambert; Braun, Stefanie; Torrilhon, Manuel;

fxdgm: A nonlinear, mixed finite element solver for the DGM electrolyte model

Abstract

We present a finite element solver for a thermodynamically consistent model of multicomponent electrolyte systems. Rooted in non-equilibrium thermodynamics, the model rigorously incorporates mass conservation, charge neutrality, and entropy production, while capturing essential physical effects such as ion solvation, finite ion size, and pressure coupling. The governing equations-comprising N-1 partial mass balances, the electrostatic Poisson equation, and a modified momentum balance-are formulated regarding electrostatic potential, atomic fractions, and pressure to ensure numerical stability and physical fidelity. The solver is implemented using the FEniCSx framework, enabling flexible simulation of one- and two-dimensional systems under complex boundary conditions. Through systematic benchmark studies and parametric analyses, we validate the model against classical Nernst-Planck formulations and highlight its advantages in avoiding non-physical concentration profiles, particularly in high-field or high-concentration regimes. Simulations explore the effects of solvation number, Debye length, compressibility, and applied electric field on double layer formation, ionic distribution, and pressure response. We publicly provide the documented and validated solver framework.

Related Organizations
Keywords

Electrolyte models, Finite element method, Electrical double layer, Electrochemistry, Thermodynamics, FEniCS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average