Emergent Materials and Intelligent TEM (EMIT) Lab aims to advance the synthesis, characterization, and analysis of emergent functional materials via developing AI-driven combinational toolkit. Our research focuses on three interconnected areas:

1. Intelligent Synthesis: We develop automated robotic systems for high-throughput chemical synthesis and automated sample preparation for structural and functional characterization. Synthetic routes are dynamically optimized in real time based on AI-guided analysis of characterization data.
2. Intelligent Characterization: We develop intelligent transmission electron microscopy (TEM) techniques, including novel hardware for liquid-cell TEM and advanced data analysis algorithms for in situ and 4D TEM. These innovations enable us to uncover the fundamental structure-property relationships at the atomic scale..
3. Artificial Intelligence: We leverage AI techniques to design hierarchical materials, predict their structures and properties, and develop intelligent algorithms for analyzing complex characterization datasets, particularly from in situ and high-throughput experiments.


