Solution-processed organic, [1-3] metallic, [4-6] and semiconductor [7,8] nanomaterials, possess unique size-related physicochemical, optical, magnetic, and electronic properties. These materials have enabled groundbreaking advancements in a variety of applications including catalysis, [9-11] drug delivery, [12,13] data storage, [14] and solar cells. [15] Different nucleation and growth models such as LaMer burst nucleation, [16] Ostwald ripening, [17] Finke-Watzky two-step mechanism, [18] orientated attachment, [19] and coalescence [20] have attempted to explain the mechanisms through which nanoparticles are formed in In recent years, microfluidic technologies have emerged as a powerful approach for the advanced synthesis and rapid optimization of various solution-processed nanomaterials, including semiconductor quantum dots and nanoplatelets, and metal plasmonic and reticular framework nanoparticles. These fluidic systems offer access to previously unattainable measurements and synthesis conditions at unparalleled efficiencies and sampling rates. Despite these advantages, microfluidic systems have yet to be extensively adopted by the colloidal nanomaterial community. To help bridge the gap, this progress report details the basic principles of microfluidic reactor design and performance, as well as the current state of online diagnostics and autonomous robotic experimentation strategies, toward the size, shape, and composition-controlled synthesis of various colloidal nanomaterials. By discussing the application of fluidic platforms in recent high-priority colloidal nanomaterial studies and their potential for integration with rapidly emerging artificial intelligence-based decision-making strategies, this report seeks to encourage interdisciplinary collaborations between microfluidic reactor engineers and colloidal nanomaterial chemists. Full convergence of these two research efforts offers significantly expedited and enhanced nanomaterial discovery, optimization, and manufacturing.
