International Journals
Journal Articles (*indicates equal contribution)
· J5: (Submitted) 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.
· J4: (Under Review) 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, Materials Today Physics.
· 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
· 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.