Developing organomettalic functional material
Transition metal complexes have emerged as central components in optoelectronic devices due to the tunability of their excited-state dynamics, quantum yields, and overall photophysical behavior. Our group focuses on a range of transition metal complexes and employs ab initio calculations combined with machine learning integrated approaches to identify correlations between molecular structure and electronic properties. Our goal is to accelerate the design of new ligand molecules with targeted optoelectronic performance. We integrate ab initio simulations with experimental data to build relevant databases and predict structural features that enhance desired properties. Close collaboration between computational and experimental efforts enables validation of newly developed functional molecules.

Developing organomettalic functional material
This is the description of QD projects

