Our research focuses on harnessing sustainable energy to convert unnecessary materials into high-value substances. We achieve this by improving the performance of organic or inorganic materials through techniques such as compositional control, morphological control, surface modification, doping, heterojunction engineering, and catalysis engineering. In addition, we also rigorously study and analyze the underlying mechanisms behind them.
Traditional computer architectures face a systemic bottleneck known as the von Neumann bottleneck, which limits the speed of data transfer between a computer's processor and memory. To overcome this challenge, our group is exploring the field of in-memory computing, which has the potential to revolutionize computer design by enabling the storage and processing of data in a single device.
Our research focuses on developing novel materials for memristors and memcapacitors that can be used for in-memory computing. By leveraging these cutting-edge materials, we aim to improve the efficiency and speed of computing, opening up new possibilities for advanced technologies such as artificial intelligence, big data analytics, and the Internet of Things.
In addition to developing new materials, our group is also exploring various applications of in-memory computing, ranging from low-power mobile devices to high-performance computing systems. By pushing the boundaries of what is possible in computer design, we hope to create a more sustainable and efficient future.
Gas sensors are vital tool for detecting the presence and concentration of various gases in the environment so those have numerous applications such as ensuring air quality, detecting hazardous substances, and monitoring industrial processes. Our group develops resistive gas sensors based on TMD and metal oxide materials. Moreover, we are actively involved in research aimed at enhancing the performance of these sensors through various techniques, such as photoactivation and catalysis engineering.
