Published Journals

1.    Jeong Ah Lee+, Jaejung Park+, Man Jae Sagong, Soung Yeoul Ahn, Jung-Wook Cho, Seungchul Lee*, and Hyoung Seop Kim*, 2025, “Active Learning Framework to Optimize Process Parameters for Additive-manufactured Ti-6Al-4V with High Strength and Ductility,” Nature Communications, 2025. [IF = 14.7, JCR = 94.4%]

2.    Minseon Kim, Jaejung Park, Heekyu Kim, Jaejun Lee, Inhyo Lee, Juo Kim, Seungchul Lee*, and Kyoungmin Min*, “Next-Generation Cathodes for Calcium-Ion Batteries: Leveraging NASICON Structures for Enhanced Stability and Energy Density,” Energy Storage Materials, 2024. [IF = 18.9, JCR = 95.8%]

3.    Jaejung Park, Jongmok Lee, Jaejun Lee, Kyoungmin Min, Haesun Park*, and Seungchul Lee*, “Active Learning Framework for Expediting the Search of Thermodynamically Stable MXenes in the Extensive Chemical Space,” ACS Nano, 2024. [IF = 15.8, JCR = 94.1%]

4.    Inhyo Lee+, Jaejun Lee+, Minseon Kim, Jaejung Park, Heekyu Kim, Seungchul Lee*, and Kyoungmin Min*, “Uncovering the Relationship between Metal Elements and Mechanical Stability in Metal-Organic Framework,” ACS Applied Materials & Interfaces, 2024. [IF = 8.3, JCR = 84.4%]

5.    Jaejung Park, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Haesun Park, Anna Lee, Kyoungmin Min*, and Seungchul Lee*, “Exploring the Large Chemical Space in Search of Thermodynamically Stable and Mechanically Robust MXenes via Machine Learning,” Physical Chemistry Chemical Physics, 2024. [IF = 3.3, JCR = 75.7%]

6.    Jaejun Lee+, Inhyo Lee+, Jaejung Park, Heekyu Kim, Minseon Kim, Kyungmin Min*, and Seungchul Lee*, “Optimal Surrogate Models for Predicting Elastic Moduli of MOFs via Multiscale Features,” Chemistry of Materials, 2023. [IF = 8.6, JCR = 81.8%]

7.    Heekyu Kim, Jaejung Park, Minseon Kim, Jajun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*, “Active Learning Platform for Accelerating the Search for High-Voltage Cathode Materials in an Extensive Chemical Space,” Journal of Physical Chemistry C, 2023. [IF = 3.7, JCR = 54.5%]

8.    Mi Hyun Lim+, Seungmin Shin+, Keonhyeok Park, Jaejung Park, Sung Won Kim, Mohammed Abdullah Basurrah, Seungchul Lee*, and Do Hyun Kim*, “Deep Learning Model for Predicting Airway Organoid Differentiation,” Tissue Engineering and Regenerative Medicine, 2023. [IF = 4.5, JCR = 59.7%]

9.    Jeong Ah Lee, Jaejung Park, Yeon Taek Choi, Rae Eon Kim, Jaimyun Jung*, Seungchul Lee*, Min Hong Seo, and Hyoung Seop Kim*, “Influence of Tensile Properties on Hole Expansion Ratio Investigated using a Generative Adversarial Imputation Network with Explainable Artificial Intelligence,” Journal of Materials Science, 2023. [IF = 4.7, JCR = 63.0%]

International Conferences

1.    Jaejung Park, Jinyoung Jeong, Bumsoo Park, Kyoungmin Min*, and Seungchul Lee*, “Transfer Learning Approach for Identifying High-entropy Nickel Manganese Cathode with High Energy Density and Structural Stability,” Electronic Materials and Nanotechnology for Green Environment (ENGE), 2024 Conference.

Domestic Conferences

1.    Jaejung Park, Jinyoung Jeong, Bumsoo Park, Kyoungmin Min*, and Seungchul Lee*, “Identification of High-entropy Nickel Manganese Cathode with High Energy Density and Structural Stability through Machine-learning Interatomic Potential,” The Korean Institute of Metals and Materials (KIM), 2024 Spring Conference.

2.    Jaejung Park, Jaejun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*, “High-entropy Doping Strategy with Machine Learning for Maximizing Stability and Energy Density of Co-free Layered Cathode Materials,” The Korean Institute of Metals and Materials (KIM), 2023 Fall Conference.

3.    Jaejung Park, Minseon Kim, Heekyu Kim, Jaejun Lee, Inhyo Lee, Kyoungmin Min*, and Seungchul Lee*, “Identification of Mechanically Robust MXenes through First-Principles Calculations and Machine Learning,” Computer Aided Engineering (CAE) Division in The Korean Society of Mechanical Engineering (KSME), 2023 Spring Conference.

4.    Jaejung Park, Heekyu Kim, Jaejun Lee, Haesun Park*, and Seungchul Lee*, “Thermodynamically Stable MXenes Identified by the First Principle Calculation Combined with the Active Learning,” The Korean Institute of Metals and Materials (KIM), 2023 Spring Conference.