Molecular Field-Coupled Nanocomputing (MolFCN) represents one of the most promising post-CMOS technologies for ultra-low power computing. This technology encodes information in the charge distribution of molecules and processes it through electrostatic interactions, using molecular patterns that implement logic gates and signal routing. Although physical simulation is possible through tools like SCERPA (Self-Consistent Electrostatic Potential Algorithm), the design process remains entirely manual. No automated design tools exist for molecular circuits, severely limiting the technology’s practical adoption. The main contribution of this work is to bridge the critical gap between molecular-level physical simulation and automated circuit design, by the development and validation of the first physically simulated standard cell library for MolFCN.