WE USE AI AND MODELING TO UNDERSTAND AND IMPROVE OLEDs

We advance organic optoelectronic materials and devices using AI, simulation, and big data technologies.

By integrating organic chemistry, semiconductor/optical physics, and device science, we quantify key properties—e.g., density of states, trap coefficients, and exciton dynamics.

Building on this, we develop applied models (optical & max-EQE simulation, impedance, transient PL/EL, drift–diffusion, and degradation models) to explain OLED electro-optical behavior and lifetime.

We also create domain-informed AI, including molecule-generating models, aiming for automated, intelligence-driven R&D beyond human analytical limits.