Moreover, as shown in Figure , the field of green synthesis for carbon-based nanomaterials demonstrates significant research activity, particularly in the utilization of sustainable precursors, such as biomass, and the adoption of eco-friendly synthesis methods, including hydrothermal and microwave-assisted techniques. The increasing integration of machine learning into this domain highlights the potential for data-driven approaches to revolutionize material optimization processes. In this context, comprehensive databases, such as OptiDots_v1.0, are essential to facilitate the systematic analysis and interpretation of experimental data, enabling more efficient and targeted advancements in the field.