New Functional Materials for Semiconductor Devices

MSIM (Metal-Semiconductor-Insulator-Metal) Diode 

Conventional diodes have made a major contribution to most electronics industries. Rectifying diodes not only allow current to flow when needed, but also make the device structurally affordable. In the case of using an oxide semiconductor, it is difficult to make a P-N diode due to the difficulty of developing a p-type semiconductor, and in the case of the schottky type, there is a problem that off leakage flows because it is difficult to actually make a schottky contact with a metal. In order to solve these problems, our lab is investigating diode structures with insulating layers, and is working on high rectification characteristics, low off leakage current, and thin and transparent next generation diode arrays. In general, oxide insulating layers have a large bandgap, creating an environment in which electrons cannot flow. By inserting the oxide semiconductor in the middle, we have fabricated a diode that can flow current even at a certain thickness without tunneling. It is expected to be used in next generation industry through thin, transparent and high rectification diode.


Synaptic Transistor & Memristors for Neuromorphic Devices

Conventional semiconductor devices are developed based on von Neumann computing system. However, due to the inherent problems with von Neumann's architecture, Moore's Law reached its limitation. On the other hand, human brain has huge advantages in handling complex problems. For example, our brain has good energy efficiency compared to von Neumann’s architecture and it can handle logic and memory in parallel. Because of these reasons, brain-like system called ‘Neuromorphic System’ is considered to be a new way to create next generation computing system. To implement a neuromorphic system, artificial neuron and synaptic devices which mimic brain are needed. Our group conduct researches about these artificial devices, especially on Synaptic Thin Film Transistors (Synaptic TFTs). Consider a Synaptic TFT with gate as a pre-synapse and source, drain, active layer as post-synapse and consider the conductance of the channel as synaptic weight. Synaptic TFTs operate in such a way that when pulse voltage is applied to the electrode, the conductance of the channel changes. In this way, TFT mimics the synaptic plasticities that occur in the real human brain, which become a mechanism of both memory and logic. Our team has advanced techniques in designing and fabricating TFTs with Oxide semiconductor. We have applied these advanced techniques to the Display field and now we are trying to combine them with Semiconductor field to implement low energy consuming neuromorphic device with various operating mechanisms.


Ferroelectric Materials