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A direct entry populates parameter values without doing any calculation or fitting — useful for dropping a coherent literature parameter set into a pipeline. The four electrolyte direct entries cover the four electrolyte transport properties needed by a binary-electrolyte DFN model.

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Available entries

ConstantElectrolyte

Just sets the initial salt concentration; everything else is left to defaults or other entries.

NymanElectrolyte

Full set for LiPF6_6 in EC:EMC from Nyman et al. 2008. Concentration-dependent κ\kappa and DeD_e, constant χ=1\chi=1 and t+0=0.2594t_+^0 = 0.2594. Isothermal.

LandesfeindElectrolyte

Full set with concentration and temperature dependence for three solvent systems (EC:DMC (1:1), EC:EMC (3:7), EMC:FEC (19:1)) from Landesfeind & Gasteiger 2019.

ArrheniusElectrolyte*

ArrheniusElectrolyteDiffusivity and ArrheniusElectrolyteConductivity wrap a reference De(ce)D_e(c_e) or κ(ce)\kappa(c_e) in an Arrhenius temperature factor. Useful when you have isothermal data and need to bolt on TT-dependence.
A direct entry returns the initial salt concentration plus all four transport-property functions and the coefficients those functions reference. Plugging it into a pipeline is enough to fully specify the electrolyte block of a DFN model.

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Fitting your own coefficients

The six conductivity coefficients (and the diffusivity, thermodynamic-factor, and transference-number coefficients) inside LandesfeindElectrolyte are exposed as named parameters precisely so they can be replaced with fit unknowns. Override the relevant parameter names in the data-fit parameters dict and run a pipeline that includes the direct entry — the published values act as the base and the optimizer searches over the overridden ones.
To configure and submit the Landesfeind/Nyman direct entries with ionworks-schema + ionworks-api, see Pipelines → Direct Entries.
For the physics behind the four transport properties and how they are measured experimentally, see Electrolyte transport properties.