A microfluidic platform combined with a deterministic model accounting for surface ligands reveals precious insights into the nanocrystal formation process. The comparison of on-line kinetic information with model predictions enables the derivation of temperature-dependent kinetic parameters for the CdSe model system. This fully generalizable approach represents a step forward toward a quantitative prediction of the nanocrystal size distribution, enabling the control and optimization of process performance and material properties.

中文翻译：

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配体介导的纳米晶体生长

微流体平台与确定表面配体的确定性模型相结合，揭示了对纳米晶体形成过程的宝贵见解。在线动力学信息与模型预测的比较使得能够推导CdSe模型系统的温度相关动力学参数。这种完全可推广的方法代表了朝定量预测纳米晶体尺寸分布迈出的一步，从而能够控制和优化工艺性能和材料性能。