From Mechanism to Decision in Nanofluidic Desalination: Cross-Scale Reasoning and Reproducibility

Abstract

Research spanning nanofluidic desalination increasingly joins methods that were developed for different objects and decisions. Here, a Bernoulli-effect transport concept for driving water desalination is compared with simulation of tapered channels in multilayer graphene membranes to determine which claims can travel across those boundaries and which remain context dependent. The analysis combines two focal publications with 12 previously verified sources and organizes the evidence around ion exclusion, water permeability, channel geometry, driving force, and scale-up. Rather than pooling incompatible outcomes, it compares research questions, representations, controls, and validation envelopes. The synthesis shows that ion exclusion cannot be interpreted independently of water permeability, while channel geometry determines whether an apparent improvement remains meaningful outside the original setting. The strongest claims are therefore those that expose sensitivity, failure conditions, and residual uncertainty. The resulting framework supports reproducible comparison while preserving differences between study designs, and it identifies concrete points at which transfer claims should be narrowed or retested.