Research Direction
We are transforming cluster chemistry from serendipitous discovery to rational, design-driven creation. By uncovering the intrinsic behaviors of cluster modules, we are developing controllable strategies for modular assembly that impart tailored functions and emergent properties. Empowered by automation and AI, and supported by high-resolution mass spectrometry and high-throughput synthesis, we now generate and interpret data with unprecedented efficiency — enabling us to map, predict, and ultimately direct the evolution of complex cluster systems.
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