International Journals
Journal Articles (*indicates equal contribution)
· J8: J. Lee, J. Sun, D. Kim, S. Lee, H. Kim, C. Wolverton, and E. Ertekin, 2025, ZeroMAT: Zero-training MATerial Prediction Model with Large Language Model and Retrieval Augmented Generation (RAG), submitted
· J7: M. Kim, J. Park, H. Kim, J. Lee, I. Lee, J. Kim, S. Lee, and K. Min, 2024, Next-Generation Cathodes for Calcium-Ion Batteries; Leveraging NASICON Structures for Enhanced Stability and Energy Density, Energy Storage Materials, https://doi.org/10.1016/j.ensm.2024.103827
· J6: J. Park, J. Lee, J. Lee, K. Min, H. Park, and S. Lee, 2024, Active Learning Framework for Expediting the Search of Thermodynamically Stable Mxenes in the Extensive Chemical Space, ACS Nano, https://pubs.acs.org/doi/10.1021/acsnano.4c08621.
· J5: I. Lee*, J. Lee*, J. Park, H. Kim, M. S. Kim, K. Min, and S. Lee, 2023, Uncovering the Relationship between Metal Elements and Mechanical Stability in Metal-Organic Framework, ACS Applied Materials & Interfaces, https://pubs.acs.org/doi/10.1021/acsami.4c07775.
· J4: J. Park, M. S. Kim, H. Kim, J. Lee, I. Lee, K. Min, and S. Lee, 2023, Exploring the Large Chemical Space in Search of Thermodynamics Stable and Mechanically Robust MXenes via Machine Learning, accepted for publication in Physical Chemistry Chemical Physics, https://doi.org/10.1039/D3CP06337B
· J3: J. Lee*, I. Lee*, J. Park, H. Kim, M. S. Kim, K. Min, and S. Lee, 2023, Optimal Surrogate Models for Predicting Elastic Moduli of Metal-Organic Frameworks via Multiscale Features, Chemistry of Materials, https://doi.org/10.1021/acs.chemmater.3c01885.
· J2: J. Na*, J. Lee*, S. Kang, S. Kim, and S. Lee, 2023, Label-Free Grain Segmentation for Optical Microscopy Images via Unsupervised Image-to-Image Translation, Materials Characterization, https://doi.org/10.1016/j.matchar.2023.113410.
· J1: H. Kim, J. Park, M. Kim, J. Lee, I. Lee, K. Min and S. Lee, 2023, Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space, The Journal of Physical Chemistry C, https://doi.org/10.1021/acs.jpcc.3c05812.
CONFERENCE
· IP2: J. Lee, T. Su, B. Blankenau, and E. Ertekin, 2025, One-Shot Generative Model for Disordered Materials Using Diffusion Models and Feynman-KAC Correctors, Presented at Colorado Schools of Mines
· IP1: J. Lee, T. Su, B. Blankenau and E. Ertekin, 2024, Generative Model for Disordered Materials Using Diffusion Models, Presented at Princeton University
· CP6: J. Park, J. Lee, I. Lee, K. Min, and S. Lee, 2023, High-Entropy Doping Strategy with Machine Learning for Maximizing Stability and Energy Density of Co-Free Layered Cathode Materials, Presented at the Korean Institute of Metals and Materials Conference.
· CP5: J. Lee, I. Lee, J. Park, H. Kim, M. Kim, K. Min, and S. Lee, 2023, Accelerating the Discovery of Mechanically Stable Metal-Organic Frameworks through Feature Combinations, Presented at the Korean Institute of Metals and Materials Conference.
· CP4: I. Lee, J. Lee, J. Park, H. Kim, M. Kim, K. Min, and S. Lee, 2023, Mechanical Properties of a QMOF Database Using Molecular Dynamics, Presented at the Korean Institute of Metals and Materials Conference.
· CP3: J. Park, H. Kim, M. Kim, J. Lee, I. Lee, K. Min, and S. Lee, 2023, Thermodynamically Stable MXenes Identified with the First Principle Calculation Accelerated, Presented at the Korean Institute of Metals and Materials Conference.
· CP2: H. Kim, J. Park, M. Kim, J. Lee, I. Lee, K. Min, and S. Lee, 2023, Active Learning for Accelerating the Search for High Voltage Cathodes in Large-Scale Data, Presented at the Korean Institute of Metals and Materials Conference.
· CP1: J. Na, J. Lee, and S. Lee, 2022, AI Metallurgist: Data-Driven Discovery of Mathematical Expressions via Natural Language Processing, Presented at the Korean Institute of Metals and Materials Conference.
· PP1: J. Lee, I. Lee, J. Park, M. Kim, K. Min, and S. Lee, 2023, RL-GPT: Reinforcement Learning-Based Generative Pre-Trained Transformer for Inverse Design of Metal-Organic Frameworks, Presented at the Korean Society of Mechanical Engineers Conference.