Scientific AI Lab — UNIST | Prof. Yang Jeong Park

Scientific AI Laboratory (SAIL)Department of Materials Science and Engineering, UNISTLed by Assistant Professor Yang Jeong Park (PhD KAIST, PostDoc MIT)Research Areas

Advanced Scientific Computing — Machine learning interatomic potentials, neural network potentials, AI-accelerated simulations, quantum computing for materials

Autonomous Laboratory — Self-driving laboratories, high-throughput robotic experimentation, closed-loop materials discovery, reinforcement learning for experiment optimization

AI for Materials Science — Large language models for scientific hypothesis generation, contrastive learning for molecules and materials, inverse materials design, knowledge graphs for research trend forecasting, materials narratives, deep learning for molecular conformation and property prediction

Selected Publications

Park et al. "Leveraging neural network interatomic potentials for a foundation model of chemistry" — npj Computational Materials (2026)

Park et al. "Contrastive Learning of Language-Material Multimodal Representation" — Nature Communications (2026)

Lee, Yoo et al. "Toward self-driving laboratory 2.0 for chemistry and materials discovery" — Materials Horizons (2026)

Xu, Park et al. "An actor-critic algorithm to maximize the power delivered from direct methanol fuel cells" — Nature Energy (2025)

Park et al. "Can ChatGPT be used to generate scientific hypotheses?" — Journal of Materiomics (2024)

Park et al. "Deep contrastive learning of molecular conformation for efficient property prediction" — Nature Computational Science (2023)

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