Publication date: 15th December 2025
Colloidal nanocrystal synthesis has long relied on empirical optimization, where minor variations in precursor ratios, ligand or temperature often yield drastically different outcomes. While this approach has produced an impressive library of nanomaterials, it limits predictive power and hampers the generalization of synthetic strategies across material systems. The next decisive step in colloidal chemistry is therefore mechanism knowing: a rigorous, molecular-level understanding of the chemical events that govern nucleation, growth, phase selection, and interface formation.
Mechanism knowing shifts the focus from material-specific “recipes” to reaction-centric design principles. By identifying reaction mechanisms, synthesis becomes anchored in transferable chemical logic. Central to this perspective is the recognition that transient intermediates, often overlooked or poorly characterized, act as decisive regulators of phase evolution and morphology.
In this poster, I will demonstrate how developing a detailed mechanistic understanding of colloidal nanocrystal formation enables the extension of reaction pathways beyond a single material system. By interrogating precursor conversion chemistry, ligand coordination dynamics, and kinetic competition during nucleation and growth, we identify the fundamental reaction steps that govern phase evolution and morphology.With this foundation, reaction pathways can be deliberately adapted to systems incorporating different metals while preserving control over structure and composition. Understanding how metal–ligand interactions, precursor reactivity, and intermediate species influence nucleation allows rational substitution of metal centers without restarting empirical optimization.
The poster will highlight how mechanistic insight transforms a material-specific protocol into a transferable synthetic framework. And underscores the broader significance of mechanism-driven design: it converts colloidal nanochemistry from a collection of isolated recipes into a scalable, adaptable platform capable of generating diverse functional materials with predictive control.
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