SNU researchers develop technology to predict and interpret the synthesizability of novel materials using large language models
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Sep-2025 06:11 ET (2-Sep-2025 10:11 GMT/UTC)
Seoul National University College of Engineering announced that Professor Yousung Jung’s research team in the Department of Chemical and Biological Engineering has successfully developed a technology that utilizes Large Language Models (LLMs) to predict the synthesizability of novel materials and interpret the basis for such predictions. This study was conducted in collaboration with Fordham University in the United States. The findings of this research are expected to contribute to the novel material design process by filtering out material candidates with low synthesizability in advance or optimizing previously challenging-to-synthesize materials into more feasible forms. The study, with Postdoctoral Researcher Seongmin Kim as the first author, was published in two renowned international chemistry journals: the Journal of the American Chemical Society (JACS) on July 11, 2024, and Angewandte Chemie International Edition on February 13, 2025.
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