News & Gallery

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!

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.

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!

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!

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!

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!