Deep Learning & Organic Photonics Laboratory, which is based in the Department of Advanced Materials Engineering at Chung-Ang University, extends the understanding of organic optoelectronic materials and devices based on artificial intelligence, simulation, and big data technologies. By combining expertise in organic chemistry, semiconductor physics, organic semiconductors, and optical physics, we quantitatively investigate the essential properties of organic optoelectronic materials, such as density of state, charge trap coefficient, and exciton dynamics. Through this fundamental understanding, we establish various applied physics modeling such as optical/theoretical maximum EQE simulation, impedance modeling, transient PL/EL modeling, drift-diffusion modeling, and device degradation modeling, which provides a deep understanding of the electro-optical behavior and lifetime characteristics of OLEDs. In addition, we are interested in developing AI models with analytical capabilities that exceed human limitations by combining our domain knowledge with cutting-edge deep learning algorithms. We also have an interest in the development of molecule-generating AI that discovers new organic optoelectronic materials with the goal direction for a fully automated intellectual R&D process.