Researcher utilize AI to find the optimal QD solvent to enable higher-efficiency and longer-lasting QD-EL devices
Researchers at Korea's Seoul National University and Sungkyunkwan University have applied AI to reverse-engineer QD-EL device production conditions, and have come up with a solvent that can arrange QDs in an optimal way.
The researchers say that by applying this solvent in a commercial QD-EL device, it can increase the efficiency twofold, and the lifetime by more then 40X.


