Next-Generation Semiconductor Devices

Our primary goal is to develop highly efficient and stable semiconductor devices based on next-generation semiconductors such as organic compounds, quantum dots, and perovskite. These materials offer unique advantages, including high efficiency and broad applicability, yet they significantly lack long-term stability, a critical factor for commercialization. The research focuses on enhancing the long-term stability of these advanced devices, including interface engineering, device structural engineering, encapsulation engineering, and post-treatment engineering. Through these comprehensive approaches, we aim to develop highly efficient and robust next-generation semiconductor devices.

Interdisciplinary Study of Artificial Intelligence and Devices

The secondary goal is to conduct interdisciplinary studies bridging artificial intelligence and semiconductor devices. Artificial intelligence has experienced rapid growth, leading to transformative effects in various sectors of society and prompting significant research shifts within academic and industrial communities. In particular, machine learning promises to enhance semiconductor process efficiency and predict future operational characteristics of devices based on their electrical properties. Through this interdisciplinary research, we aim to forecast the characteristics of devices, focusing on maximizing their long-term stability and streamlining semiconductor processes.