<Next-generation optoelectronic devices: Perovskite LEDs and solar cells>

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. In parallel, perovskite solar cells have drawn significant attention as high-efficiency, low-cost photovoltaic devices, further expanding the potential of perovskite materials in next-generation optoelectronic systems. 

Our research aims to develop highly efficient and stable perovskite LEDs and solar cells by controlling defects in perovskite, designing functional materials, and analyzing charge carrier dynamics for advanced optoelectronic technologies.

<Next-generation neuromorphic devices: Perovskite-based artificial synapses>

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.

<Perovskite-based sensing and lasing technologies>

As on-chip photonics, optical communication, and advanced sensing systems continue to advance, compact lasing sources and highly responsive detectors are becoming increasingly critical building blocks for future integrated technologies. Metal halide perovskites, with their strong optical gain, tunable bandgap, and high absorption coefficient, are promising materials for both lasing and optoelectronic sensors. 

Our research focuses on developing perovskite-based sensing and lasing devices by controlling defects and interfaces, integrating perovskites with resonant structures, and elucidating charge-carrier and light–matter interactions.

<Synthesis and characterization of single-crystalline perovskites>

Single-crystalline perovskites, which exhibit intrinsically low trap densities, have emerged as a promising alternative to polycrystalline perovskites, but their excessive thickness and limited size still hinder efficient charge confinement and practical device integration. 

Our research aims to overcome these limitations by synthesizing high-quality, large-area perovskite single-crystal thin films and investigating their intrinsic properties through comprehensive optoelectronic measurements.

<Machine learning model development for materials and device design>

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 devices, streamlining the design process and fostering the development of more efficient, reliable devices for various applications. 

Our research aims to utilize machine learning to accelerate the design of perovskite materials and devices. By learning from experimental and simulated data, ML models predict key properties and suggest design guidelines, thereby speeding up the development of high-performance perovskite-based devices.

<Flexible/stretchable electrode materials: graphene and conducting polymer>

The form factor of electronic devices has been evolving into flexible and wearable forms. We explore carbon-based materials such as graphene and conducting polymers and engineer their physical, chemical, and mechanical properties in order to apply them as flexible and stretchable electrodes to various electronic devices, which will be applied to future smart electronics.