Intelligent Materials for Wearable Devices
Our research aims to develop innovative wearable devices by integrating flexible and stimuli-responsive materials. Traditional wearables often require rigid components, high power consumption, and bulky size and weight, limiting their broader applications. We address these challenges by designing flexible stimuli-responsive materials with tunable properties that can adapt to various conditions and requirements.
Intelligent Materials for Structures
Our research focuses on developing intelligent materials that can be seamlessly integrated into conventional structural systems to achieve multifunctionality, such as sensing and energy harvesting. Traditional structural materials have been primarily focused on strength, durability, and cost. However, as the expectations for structural resilience, efficiency, and sustainability grow, a paradigm shift in material selection and design is urgently needed. We aim to bridge this gap by creating materials that not only meet conventional performance criteria but also enhance structural intelligence.
Computational Modeling and Advanced Data Analytics for Intelligent Materials
Our group employs computational modeling for stimuli-responsive materials to achieve model-enabled material designs with optimum material properties. In addition, we work on advanced data analysis, such as machine learning, to decode the complex responses that these materials exhibit.