A similarity between chemical reactions and self-assembly of nanoparticles offers a strategy that can enrich both the synthetic chemistry and the nanoscience fields. Synthetic methods should enable quantitative control of the structural characteristics of nanoparticle ensembles such as their aggregation number or directionality, whereas the capability to visualize and analyze emerging nanostructures using characterization tools can provide insight into intelligent molecular design and mechanisms of chemical reactions. We explored this twofold concept for an exemplary system including the polymerization of bifunctional nanoparticles in the presence of monofunctional colloidal chain stoppers. Using reaction-specific design rules, we synthesized chain stoppers with controlled reactivity and achieved quantitative fine-tuning of the selfassembled structures. Analysis of the nanostructures provided information about polymerization kinetics, side reactions, and the distribution of all of the species in the reaction system. A quantitative model was developed to account for the reactivity, kinetics, and side reactions of nanoparticles, all governed by the design of colloidal chain stoppers. This work provided the ability to test theoretical models developed for molecular polymerization.nanopolymer | plasmonic properties T he similarity between chemical reactions and colloidal selfassembly forms a bridge between molecular and colloidal length scales, spanning over several orders of magnitude (1-3). It is currently well-established that a broad range of particles with two reactive patches, such as polymer microbeads (4), inorganic nanoparticles (5), and block copolymer micelles (6), act similar to bifunctional molecular monomers and organize themselves into one-dimensional polymer-like structures. The self-assembly of colloidal polymers can also be assisted by the application of an electric (7) or magnetic field (8). The analogy between chemical reactions and the self-assembly process offers a mutually beneficial approach: (i) the use of synthetic concepts as a strategy for controllable and quantitative self-assembly of colloidal particles into structures with well-defined sizes, spatial organization, and directionality and (ii) the development of fundamental knowledge about chemical reactions by visualizing colloidal assemblies.The replication of synthetic concepts developed at the molecular scale--beyond qualitative prediction of a particular structure--should benefit the self-assembly of colloidal polymers built from nanoparticles. Collective plasmonic, excitonic, and magnetic properties of nanoparticle chains depend on their degree of polymerization (9-11). Nanoparticle chains have potential applications as sensors (12), nanoantennas (13), or waveguides (14), to name just a few applications, and their successful realization relies on the ability to precisely control nanopolymer structure. Recently, we reported the ability to predict the average degree of polymerization X n of nanoparticle chains for a particular self-a...