Our group is conducting research in the following 4 areas,
primarily using organic and carbon-based materials (e.g. carbon nanotubes, small molecules, polymers).
We are developing electronic skin or e-skin, which are stretchable devices mimicking the tactile sensing properties of human skin. In combination with e-skin technology, we are developing organic-based neuromorphic devices (i.e. memristor array or hardware based artificial neural network) to process tactile signals in a parallel manner with low power consumption and high speed. The neuromorphic devices can also be used to “learn” and “adopt,” through which key features in the data can be extracted.
We are 3D printing hydrogels that biomimic human tissues. Using machine learning, we are establishing correlations between variables and material properties during syntheses and are characterizing network interactions. We are applying the calculated data and 3D-printable outcomes into various fields such as biomedical engineering through implementing complex and customizable structures.
We are using organic and carbon-based materials to detect biomarkers, through which highly sensitive and accurate diagnosis can be conducted in a low cost and simple manner (i.e. point-of-care platform). Currently, we are detecting biomarkers for early diagnostics of Alzheimer’s disease in human plasma.
We are synthesizing highly conductive materials that can reduce charge transfer resistance and improve electrochemical properties in the battery. Using highly conductive materials, we are developing highly reliable Li-S batteries.
The technologies developed in these 4 areas will be applied to fields
such as wearable electronics, robotics, implantable devices, energy, health care, prosthetics, and artificial organs.