<Next-generation Display : Perovskite light-emitting diodes>

With the rapid advances of AR and VR technology, there is an increasing demand for realistic and vivid displays. Metal halide perovskites, with their high color purity, brightness, and excellent optoelectronic properties, have emerged as a promising next-generation material for light-emitting diodes (LEDs) in advanced display applications. Our research aims to develop highly efficient and stable perovskite LEDs by controlling defects in perovskite, designing materials and analyzing charge carrier dynamics for cutting-edge display technologies. 

<Neuromorphic Device : Perovskite memristor>

In the era of artificial intelligence, the demand for energy-efficient, high-speed data processing has driven the rise of neuromorphic computing as an alternative to conventional von Neumann architectures, which suffer from high energy consumption. Metal-halide perovskite memristors, with their low set voltage, high energy efficiency, tunable multilevel states, and multifunctional resistive switching, have emerged as key enablers of neuromorphic computing.

Our research focuses on enhancing the stability, retention time, and reliability of these memristors through a detailed analysis of their structural and optoelectronic properties. Ultimately, we aim to integrate this technology into neuromorphic computing applications, including inference, classification, and optical image recognition.

<AI-Driven Materials Discovery>

Material development has traditionally been time-consuming and resource-intensive, requiring significant investment to discover and optimize new substances through experimental methods. Machine learning plays a crucial role in accelerating this process by predicting material properties and simulating device architectures. These models enable the rapid identification of high-performance materials, streamlining the design process and fostering the development of more efficient, reliable devices for various applications.

<Flexible/Stretchable Materials : Carbon-based electrode>

The form factor of electronic devices has been evolving into flexible and wearable forms. We employ carbon materials (e.g. graphene) and conducting polymer and engineer their physical/chemical/mechanical properties in order to apply them as flexible/stretchable electrodes to various electronic devices, which will be applied to future smart electronics.