Molecular simulations have played a crucial role in developing
analytical models for microporous supercapacitor electrodes. However,
these models overlook vital quantum mechanical details, which can
only be captured through computationally demanding first-principles
methods like density functional theory (DFT). We address this gap
by introducing a computationally feasible DFT-based approach to simulate
2D slit pores with highly confined ions. Initial conditions for the
simulations are derived from the latest literature’s virtual
image obtained via in situ experiments and molecular simulations of
extremely confined 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide
(EMI-TFSI) ions in graphene slit pores. The periodicity of the slit
pores and the quasi-static state of the highly confined ions enable
computationally feasible periodic plane-wave DFT calculations, yielding
atomic-level insights into the pore and ion atomic structures, charge
distribution, and, most importantly, the quantum capacitance (C
q). Furthermore, we investigate the impact of
pore-doping using Nitrogen on the C
q,
revealing potential-dependent results that hold particular significance
for ion-saturated nanoporous systems. The proposed first-principles
atomistic model represents a leap in the modeling resolution of microporous
slit pore systems with confined ions. It unveils the contributions
of ions and the pore atomic structure to the overall C
q of the system, offering a comprehensive understanding
of the intricate interplay between pore morphology, including defects
and adatoms, and pore–ion interactions and their collective
impact on the capacitance of pore/ion systems. The model complements
existing electrochemical double-layer models and provides key insights
for optimizing electrolyte and pore material selection in microporous
electrochemical double-layer capacitors.