Quantum Dots Are Nano-Clusters of Semiconductors That Have Attracted Much Interest in Recent Years Because of Their Unique Optoelectronic Properties. Quantum Dots Can be Grown Epitaxially or from Colloids. the Latter Is Yet-Imperfect but Is Easier to Manufacture and Can Provide the Possibility for Future Large-Scale Manufacturing of QDs. the Nucleation and Growth Mechanisms of Nanocrystals Are Underdeveloped in Colloids, and Synthesis Procedures Are Primarily through Trial and Error. in This Study, We Theoretically and Experimentally Investigate the Growth Kinetics in Colloidal QD Synthesis. then, We Present a Modified Kinetic Reaction Rate (MKRE) Model to Describe the Temporal Evolution of the Entire Cluster Size Distribution and Compute Several Experimental Observables, Including Mean Size and Size Distribution. the Model Combines an n-Size Stabilization Constant and Discrete Rate Equations for the Formation of Small-Sized Clusters and Continuous Fokker-Planck Equation for the Growth of Large-Sized Clusters. a Set of Experimental Data Is Compared with the Result of the Mkre Model Fits to Obtain Corresponding Thermodynamic and Kinetic Parameters That Can be Used for Future Simulation Predictions. This Model, Combined with Machine-Learning Methods, Can Learn from Available Experimental Data, Propose Experimental Parameters to Try, and Ultimately Point to Regions of Synthetic Parameter Space That Will Enable Exceptional Monodisperse High-Quality QDs.