Research

Our research goal is to develop smart organic-inorganic nanocomposite systems which can predict their outcome both in space and time by fine-tuning the spatio-temporal response upon given stimulus. One of the biggest advantages of nanomaterials is that the property can easily be tuned by modifying their structure and composition.  In order to design materials such that they have specific properties, it is critical to understand how the smallest unit which composes materials – molecules – change the property. By fine-tuning their structure and composition, we can control their response upon given stimulus, in which we can collect as information for database. With the well-established database, we can predict the outcome of our information system. In other words, our research goal is to:

(1) properly design and develop the nanocomposite material for desired purposes, (2) control and fine-tune their spatio-temporal responses upon given stimulus, (3) convert their chemical responses into information for well-established database, and (4) predict the consequences in specific occasions.

Some of the most useful applications for accumulating spatio-temporal chemical information to predict the outcomes are their energy-/environmental- and biofunctional-applications. For example, we are recently focusing on developing spatio-temporal information systems with organic-inorganic nanocomposites for (1) energy-/environmental-applications to transfer, save, and convert energy more efficiently for optical encryption and data-driven battery material prediction; and (2) biofunctional applications to develop chemically encoded signaling system and spatio-temporal stimulation and localizaiton system.