  This work introduces a novel data-driven modified nodal analysis (MNA)
circuit solver. The solver is capable of handling circuit problems featuring
elements for which solely measurement data are available. Rather than utilizing
hard-coded phenomenological model representations, the data-driven MNA solver
reformulates the circuit problem such that the solution is found by minimizing
the distance between circuit states that fulfill Kirchhoff's laws, to states
belonging to the measurement data. In this way, the previously inevitable
demand for model representations is abolished, thus avoiding the introduction
of related modeling errors and uncertainties. The proposed solver is applied to
linear and nonlinear RC-circuits and to a half-wave rectifier.
