Achievements

Projects

• Korea Institute of Energy Technology Evaluation and Planning (KETEP)

  • Development of IoT-based Work Safety Management Platform to Establish a Safe Environment for Power Plants

[Sep. 2023 - Present]

• Agency for Defense Development (ADD)

  • Development of Interlocking Modular Waist, Shoulder, and Knee Strength Support Exosuit Technology

[Sep. 2023 - Present]

• Korea Planning & Evaluation Institute of Industrial Technology (KEIT)

  • Development of Automated 3D Bioreactor System  for in situ Uniform Cell Aggregation, Proliferation, and Differentiation

[Apr. 2023 - Present]

• Korean Fund for Regenerative Medicine (KFRM)

  • Development of Treatment for Intractable Vinko Syndrome Based on Functional Stem Cell Therapy with AI

[Apr. 2023 - Present]

• Ministry of Trade, Industry, and Energy (MOTIE)

  • Development of Metasoft Organ Module Manufacturing Technology and Module Assembly Robot System

[Mar. 2022 - Aug. 2023]

Journals

1.    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%]

2.    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%]

3.    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%]

4.    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%]

5.    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%]

Domestic Conferences

1.    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.

2.    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.

3.    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.

Invited Talks

1.    Jaejung Park and Seungchul Lee*, “Applications of Artificial Intelligence in Regenerative Medicine,” The Korean Tissue Engineering and Regenerative Medicine Society (KTERMS), 2023 Education Symposium.