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Research Highlights

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Research Highlights

Professor Hyobin Yoo’s Research Team at SNU Develops 2D Quantum Material Platform Using Moiré Lattice Superposition

Professor Hyobin Yoo’s Research Team at SNU Develops 2D Quantum Material Platform Using Moiré Lattice Superposition

Prof. Hyobin Yoo

Seoul National University College of Engineering has announced that a joint research team led by Professor Hyobin Yoo from the Department of Materials Science and Engineering, in collaboration with Professor Young-Woo Son (Korea Institute for Advanced Study) and Professor Changwon Park (Ewha Womans University), has successfully developed a two-dimensional (2D) quantum material platform through the superposition of moiré lattices.

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Extracellular Vesicle-Mediated Delivery of 20S Proteasomes Enhances Tau Degradation in Recipient Cells

Extracellular Vesicle-Mediated Delivery of 20S Proteasomes Enhances Tau Degradation in Recipient Cells

Prof. Min Jae Lee

Professor Lee's group from the Department of Biomedical Sciences at SNU College of Medicine has revealed that 20S proteasomes can travel between cells via extracellular vesicles, maintaining protein homeostasis and degrading pathogenic proteins in neighboring cells, opening new therapeutic avenues for neurodegenerative diseases.

Supramodal and cross-modal representations of working memory in higher-order cortex

Supramodal and cross-modal representations of working memory in higher-order cortex

Prof. Sue-Hyun Lee

Professor Sue-Hyun Lee’s research team from the Department of Psychology at SNU has revealed that supramodal and cross-modal working memory exist in the human brain, offering insight into how we maintain memory amid diverse sensory inputs. Findings may support treatments for cognitive disorders and future mind-reading technologies.

SNU and Harvard Researchers Jointly Build Next-gen Swarm Robots Using Simple Linked Particles

SNU and Harvard Researchers Jointly Build Next-gen Swarm Robots Using Simple Linked Particles

Prof. Ho-Young Kim

Seoul National University College of Engineering announced that a joint research team from Seoul National University and Harvard University has developed a next-generation swarm robot system inspired by nature—capable of movement, exploration, transport, and cooperation, all without the need for precise sensors or centralized control.

Heterostructure Printing for Mass Production of High-Toughness Fiber Electrodes in Intelligent Digital Apparel

Heterostructure Printing for Mass Production of High-Toughness Fiber Electrodes in Intelligent Digital Apparel

Prof. Seongjun Park

Professor Seongjun Park's research team from the School of Transdisciplinary Innovations and Collge of Medicine at SNU has developed meter-scale (~50 m) tough, stretchable conductive fibers by printing liquid metal in a thermoplastic matrix, enabling smart apparel, healthcare wearables, and digital controls.

Click To Stack: Shape-Assisted Self-Assembly of Unflattened Macrocycles into Waveguiding Elastic Crystals

Click To Stack: Shape-Assisted Self-Assembly of Unflattened Macrocycles into Waveguiding Elastic Crystals

Prof. Dongwhan Lee

Professor Dongwhan Lee’s research group in the Department of Chemistry at SNU has succeeded in developing elastic, waveguiding organic crystals via a click-to-stack strategy to produce saddle-shaped molecules, highlighting molecular shape as a key design element.

Contributions of interspecific hybrids to genetic variability in <i>Glycyrrhiza uralensis</i> and <i>G. glabra</i>

Contributions of interspecific hybrids to genetic variability in Glycyrrhiza uralensis and G. glabra

Prof. Tae-Jin Yang

Prof. Tae-Jin Yang’s team at Seoul National University assembled a high-quality genome of 〈i〉Glycyrrhiza uralensis〈/i〉 and revealed the hybrid origin and evolutionary history of licorice species through genome-wide analysis of 29 individuals.

Hexagonal Metal Complex Based Mechanically Robust Transparent Ultrathin Gold µECoG for Electro-Optical Neural Interfaces

Hexagonal Metal Complex Based Mechanically Robust Transparent Ultrathin Gold µECoG for Electro-Optical Neural Interfaces

Prof. Hongki Kang

Professor Hongki Kang's research team at Seoul National University College of Medicine has developed a technique to fabricate ultra-thin gold (Au) electrodes—approximately 8 nanometers thick—using a biocompatible material, thereby rendering previously opaque electrodes transparent.

Atomic lift-off of epitaxial membranes for cooling-free infrared detection

Atomic lift-off of epitaxial membranes for cooling-free infrared detection

Prof. Celesta S. Chang

Professor Celesta S. Chang's research team from the Department of Physics and Astronomy has developed an 'Atomic Lift-Off' technique that enables the production of ultrathin, freestanding perovskite oxide membranes—paving the way for high-performance, cooling-free infrared sensors.

Professor Kiyun Yu's Research Team at SNU Develops Multilingual E-Book Platform to Bring Korean Books to Global Readers Like Netflix Dramas

Professor Kiyun Yu's Research Team at SNU Develops Multilingual E-Book Platform to Bring Korean Books to Global Readers Like Netflix Dramas

Seoul National University College of Engineering announced that Professor Kiyun Yu's research team from the Program of Smart City Engineering has developed an e-book platform that automatically translates books by Korean authors into 13 different languages for global readers—similar to how Netflix delivers dramas and films worldwide.

SNU-CMU Joint Research Team Develops AI Technology for Career Exploration Through Conversations with Future Self

SNU-CMU Joint Research Team Develops AI Technology for Career Exploration Through Conversations with Future Self

SNU-CMU Joint Research Team

Seoul National University College of Engineering announced that a joint research team from SNU and Carnegie Mellon University (CMU) has developed a human-centered artificial intelligence (AI) technology that enables young adults to explore career paths through conversations or letter exchanges with their "future selves."

Professor U Kang’s Research Team at SNU Develops AI Technology Enabling High-Performance Lightweight Deep Learning Models Without Training Data

Professor U Kang’s Research Team at SNU Develops AI Technology Enabling High-Performance Lightweight Deep Learning Models Without Training Data

Seoul National University College of Engineering announced that Professor U Kang from the Department of Computer Science and Engineering has developed an innovative artificial intelligence (AI) technology that allows for the compression of deep learning models without a significant drop in performance, even in situations where training data cannot be used due to privacy or security concerns.

Addressing overfitting bias due to sample overlap in polygenic risk scoring

Addressing overfitting bias due to sample overlap in polygenic risk scoring

Prof. Seunggeun Lee

Professor Seunggeun Lee’s team from the GSDS at SNU developed the Overlap-Adjusted Polygenic Risk Score (OA-PRS) to correct sample overlap bias in Alzheimer’s PRS data, enabling full dataset use without the risk of overfitting.