Our research is driven by the vision expressed by Prof. Richard Feynman: “What would the properties of materials be if we could really arrange the atoms the way we want them?” We explore self-assembled functional materials and the precise control of their hierarchical structures, bridging molecular design with macroscopic performance.

Through this approach, we aim to develop next-generation solutions for wearable electronics, energy harvesting, energy storage, and smart materials, where structural precision translates directly into advanced functionality.

Fiber morphology offers flexibility, high surface area, and tunable structures, making it highly valuable for wearable devices, energy systems, and sensing applications. To achieve these functions, the process–structure–property relationship must be carefully considered when translating materials into fiber form.

Our team develops advanced fiber spinning techniques to design next-generation functional fibers. By integrating processing control with hierarchical structural design, we aim to create high-performance fibers that drive innovation in wearable electronics, energy harvesting, storage, and smart materials.

We are developing a multi-length-scale structural characterization platform to bridge the gap between processing-structure-property relationships in functional materials. By integrating advanced techniques across multi-length scales, this platform enables precise observation of hierarchical structures and their evolution during processing. Such multi-scale insights are essential for unraveling the structure–property correlations that dictate performance in advanced fibers and functional materials, guiding the rational design of next-generation applications in energy, sensing, and wearable electronics.

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In-situ tensile and electrical resistance measurements under controlled humidity and temperature environments