News & Gallery

Membership Training in Wonju
The Meta Lab recently enjoyed a memorable MT (Membership Training) trip to Wonju, filled with both fun and relaxation. During the trip, team members engaged in a variety of activities and games, as well as meaningful time to rest and recharge. More importantly, it was a great opportunity to strengthen communication and camaraderie among lab members outside of the research environment. We believe this time spent together will contribute to stronger collaboration and a more supportive atmosphere for our future research endeavors.
Membership Training in Wonju
Computational Chemistry Summer School
Jeongsu, Jinwook, and Sowon attended the Computational Chemistry Summer School hosted by the Korean Institute of Chemical Engineers! There, they had an enriching experience learning both theory and hands-on skills — from the fundamentals of DFT to machine learning potentials (MLPs) using AI. We hope this serves as a great booster for their future research!
Computational Chemistry Summer School
Welcoming Geonyeop for AI X Catalyst
We are excited to welcome Geonyeop to the Meta Lab’s Catalyst Team! Geonyeop brings a unique interdisciplinary background in Chemical Engineering and Computer Science at the undergraduate level. With strong interests in artificial intelligence and materials discovery, He is now embarking on cutting-edge research involving Large Language Models (LLMs). We look forward to the innovative contributions they will bring to our team and the broader field of AI-driven materials science. Welcome aboard!
AI-Driven Discovery of OER Catalysts Published in Chemical Engineering Journal
Our collaborative research with Prof. Seoin Baek’s group at Korea University has been accepted in the Chemical Engineering Journal! We proposed an AI-driven strategy to discover high-performance OER catalysts, screening over 6,500 double perovskite structures. Using a combination of composition-based regression and graph neural networks, we identified 15 promising candidates surpassing conventional materials like LSCF.
AI-Driven Discovery of OER Catalysts Published in Chemical Engineering Journal
Seminar with Ph.D. Juhwan Kim
We were delighted to have a seminar presented by Ph.D. Juhwan Kim, who recently joined the Meta Lab. In his talk, Ph.D. Kim shared insights from his previous research, which focused on evaluating the hazard potential of chemical substances using artificial intelligence. He also introduced a novel approach that leverages large language models to extract chemical property information directly from scientific literature. Following the seminar, all lab members gathered for dinner, enjoying good food and conversations as we warmly welcomed Ph.D. Kim to the Meta Lab.
Seminar with Ph.D. Juhwan Kim
Meta Lab Selected for 2025 삼성미래기술육성사업
We are excited to announce that the Meta Lab has been selected for the 2025 First Half 삼성미래기술육성사업, announced on April 11. The selected project, titled “Machine Learning-Driven Time-Resolved 4D-STEM for 3D Atomic-Scale Imaging of Ion Diffusion,” aims to advance high-resolution spatiotemporal imaging techniques for understanding ion transport phenomena. In this collaborative effort, the Meta Lab will lead the development of machine learning methodologies that enable real-time atomic-level analysis from time-resolved 4D-STEM data. Our role is central to unlocking the potential of AI in pushing the limits of electron microscopy and material characterization. We look forward to contributing to groundbreaking advancements through this prestigious initiative.
Welcoming Jungsoo
We are delighted to welcome Jungsoo Moon to our research group! Recognized as the top student in his department, Jungsoo brings a strong academic background in Solid-State Physics and Computer Science. He thoughtfully designed his undergraduate program with a clear focus on the practical applications of AI in materials science. He is currently working on a computational algorithm project, building a solid foundation for solving optimization problems and exploring Topological Neural Networks in the context of materials discovery. We look forward to Jungsoo’s future contributions to the team and to the advancement of AI4Mat research. Welcome, Jungsoo!
Dr. Juhwan Kim Joins as Postdoctoral Researcher
We are pleased to announce that Dr. Juhwan Kim has joined the Meta Lab as a postdoctoral researcher. Dr. Kim specializes in machine learning-based prediction of chemical reactions and material properties. He has extensive experience in applying artificial intelligence to scientific problems and has conducted advanced research in both academic and interdisciplinary settings. With his strong background and deep understanding of our research themes, Dr. Kim is expected to make meaningful contributions to our ongoing efforts to accelerate materials discovery through data-driven methods. We warmly welcome Dr. Kim to the Meta Lab!
Welcoming Sowon for AI x Nanoparticle
We are thrilled to officially welcome Sowon as a new master’s student at the Meta Lab! After completing a research internship with us in January and February, she began her graduate studies in March 2025. Sowon’s research focuses on predicting the synthesis of nanomaterials, aiming to bridge the gap between experimental outcomes and theoretical models. With her strong curiosity and drive to integrate data-driven approaches with materials synthesis, we look forward to her future contributions to our lab’s mission of advancing intelligent materials research. Welcome aboard, Sowon!
Welcoming Jinuk for advancing AI x Materials
We are excited to welcome Jinuk Jang to our research group! Jinuk will be diving into the dynamic field of AI-driven material research, with a focus on perovskite solar cells. His passion and expertise in integrating AI with material science will be instrumental in driving innovative breakthroughs in clean energy technologies. We are eager to see the impact Jinuk’s research will have on our group’s progress and the broader field. Welcome aboard, Jinuk!