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Capturing the Birth of Next-Generation Ferroelectric Memory: Unveiling the Role of Oxygen Vacancies A joint research team led by Professor Minhyeok Park of SNU reduces oxygen vacancies, advances crystallization by 30°C, and boosts memory signals 11-fold
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First Korean to Win Best Student Paper Award at World’s Largest Wireless Power Transfer Conference Ph.D. Candidate Lee Young-seok Proposes the World’s First End-to-End Efficiency Optimization Design Method
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AI Discovers New High-Temperature, Lead-Free Dielectric Professor Ho-Won Jang’s Team at SNU Builds a Dataset of 1,202 Data Points from 448 Research Papers; Study Published in Nature Communications
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First Ph.D. recipient from a Korean university to win the KDD 2026 Doctoral Dissertation Award SNU Ph.D. Yongchan Park Develops FFT-Based Data Analysis Technology, Achieving Up to 19× Faster Processing
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Designing the Direction of Light Through the ‘Hidden Order’ Within Disorder Joint Research Team from Seoul National University and the University of Seoul Proposes a New Theory for Simultaneously Controlling Light Absorption
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“Forgetting” as an AI Capability: AI That Learns to Forget on Its Own Seoul National University and Sungkyunkwan University Publish in Advanced Science
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Uncovering the Design Principles of Next-Generation Hydrogen Fuel Cell Cathodes Using AI The joint research team of Prof. Han, Jeong Woo, Published in Nature Energy and Selected as a Cover Article
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Developed the world's first 6G antenna, "STARE" Professor Oh, Jungsuek's team, Published in Nature Communications, a world-renowned scientific journal
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Published numerous papers at top-tier international conferences in generative visual computing Hyunsoo Lee, an undergraduate student at SNU, has published and presented research at leading international conferences in machine learning and computer vision
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Researchers Identify the 'Hidden Active Sites' of Nanocatalysts A joint research team from SNU College of Engineering, KAIST, and KBSI, Published in Energy & Environmental Science and Selected for the Outside Back Cover
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Development of Efficient Scaling Techniques for More Powerful Existing AI Models SNU Engineering Computer Vision Research Team's Paper Accepted to CVPR 2026, the World's Leading Conference on Computer Vision
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Reduces nitrogen while suppressing hydrogen evolution Prof. Yousung Jung, Published in Journal of the American Chemical Society
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