Chonnam National University Identifies Core Principles for Smart Material Development

Research team from the Department of Petrochemical Materials Engineering leading the development of unique imaging technology. Provided by Chonnam National University

The research team at Chonnam National University is attracting international attention by presenting the theoretical foundation for the development of 'smart materials' that can self-assemble their structures.

According to Chonnam National University on March 24, Professor Hyo-Seong Ahn's team, in collaboration with Professor Beom-Jun Park of Kyung Hee University and Professor Hye-Rim Hwang's team of Ewha Womans University, precisely identified the process by which nanoparticles trapped in liquid respond to changes in the external environment and autonomously form regular structures. This research is recognized as a significant achievement in revealing how nanoparticles at the nanoscale create order in changing environments.

The research team confined 'alginate hydrogel' nanoparticles inside microscopic liquid droplets and observed their movement. While previous studies mainly dealt with the alignment of particles in a certain equilibrium state where interactions are constant, this study focused on the 'non-equilibrium state' where the electrostatic repulsion on the particle surfaces changes over time.

As a result of the experiment, the randomly distributed particles repelled each other and formed an optimal arrangement as the electrostatic repulsion gradually increased. Eventually, the particles spontaneously aligned into a honeycomb-shaped hexagonal lattice structure. Through this process, the research team proposed a new self-assembly mechanism that can explain complex physical phenomena.

Another achievement of this research lies in advanced imaging technology. The team reconstructed the arrangement of thousands of nanoparticles into a three-dimensional structure (3D reconstruction) and introduced a machine learning-based algorithm to analyze it. Artificial intelligence precisely tracked the position of each particle in microscope images and converted the alignment process into data without error. This analysis method is expected to become a core technology for identifying the microstructure of various advanced materials in the future.

The editorial board of Nature Communications highly evaluated the academic significance of this research and selected it as an 'Editor's Highlight' in the Inorganic and Physical Chemistry category. This section is a special page that introduces only about 50 of the most influential papers by field among recently published articles.

Professor Hyo-Seong Ahn stated, "This research is a case in which the process of soft colloidal systems in a non-equilibrium state aligning into regular structures was experimentally and theoretically verified. 3D structural analysis and machine learning-based imaging technology will become core platforms for designing and controlling the microstructure of intelligent nanomaterials and next-generation energy materials in the future."

Meanwhile, this research is expected to provide an important theoretical foundation for the development of 'smart materials' that autonomously form or recover their structures in response to changes in the external environment. The research was selected by the editorial board of the prestigious journal Nature Communications as an 'Editor's Highlight,' and was included among the top approximately 50 key papers in the field.

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