Joon-Young Kim†, Heekyu Kim†, Keonwoo Nam, Daeyoung Kang , Seunghwa Ryu "Development of an Injection Molding Production Condition Inference System Based on Diffusion Model", Journal of Manufacturing Systems, Vol. 79, April 2025, 162-178, https://doi.org/10.1016/j.jmsy.2025.01.008.
Minseon Kim, Jaejung Park, Heekyu Kim, Jaejun Lee, Inhyo Lee, Seungchul Lee*, and Kyoungmin Min*, 2024, "Next-Generation Cathodes for Calcium-Ion Batteries: Leveraging NASICON Structures for Enhanced Stability and Energy Density," Energy Storage Materials, Vol. 73, November 2024, 103827, https://doi.org/10.1016/j.ensm.2024.103827.
Inhyo Lee†, Jaejun Lee†, Minseon Kim, Jaejung Park, Heekyu Kim, Seungchul Lee*, and Kyoungmin Min*, 2024, "Uncovering the Relationship between Metal Elements and Mechanical stability in Metal-Organic Framework," ACS Applied Materials & Interfaces, 16, 39, 52162–52178, https://doi.org/10.1021/acsami.4c07775.
Jaejung Park, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Haesun Park, Anna Lee, Kyoungmin Min*, and Seungchul Lee*, 2024, "Exploring the Large Chemical Space in Search of Thermodynamically Stable and Mechanically Robust MXenes via Machine Learning," Physical Chemistry Chemical Physics, https://doi.org/10.1039/D3CP06337B.
Jaejun Lee†, Inhyo Lee†, Jaejung Park, Heekyu Kim, Minseon Kim, Kyungmin Min*, and Seungchul Lee*, 2023, "Optimal Surrogate Models for Predicting Elastic Moduli of MOFs via Multiscale Features," Chemistry of Materials, 35(24), 10457–10475, https://doi.org/10.1021/acs.chemmater.3c01885.
Heekyu Kim, Jaejung Park, Minseon Kim, Jajun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul 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 .
Heekyu Kim†, Hae-Yeon Park†, DoGyeom Park, Sun Im*, and Seungchul Lee*, 2023, "Non-invasive Way to Diagnose Dysphagia by Training Deep Learning Model with Spectrograms," Biomedical Signal Processing and Control, 86, Part B, https://doi.org/10.1016/j.bspc.2023.105259.
Juwon Na, Se-Jong Kim, Heekyu Kim, Seong-Hoon Kang, and Seungchul Lee*, 2023, "A Unified Microstructure Segmentation Approach via Human-In-The-Loop Machine Learning," Acta Materialia, 255, https://doi.org/10.1016/j.actamat.2023.119086.
Heekyu Kim, Jaejung Park, Minseon Kim, Jajun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*, 2023, "Active Learning for Accelerating the Search for High Voltage Cathodes in Large-Scale Data", Conference of the Korean Institute of Metals and Materials at Jeju, Korea.
Jaejung Park, Heekyu Kim, Jaejun Lee, Haesun Park*, and Seungchul Lee*, 2023, "Thermodynamically Stable MXenes Identified with the First Principle Calculation Accelerated", Conference of the Korean Institute of Metals and Materials at Jeju, Korea.
Jaejun Lee, Inhyo Lee, Heekyu Kim, Jaejung Park, Minseon Kim, Kyungmin Min*, and Seungchul Lee*, 2023, "Accelerating the Discovery of Mechanically Stable Metal-Organic Frameworks through Feature Combinations", Conference of the Korean Institute of Metals and Materials at Jeju, Korea.